ArcFace.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Arcface.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "vOydqqaveuP9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "import time\n",
        "import os\n",
        "import math\n",
        "import argparse\n",
        "from glob import glob\n",
        "from collections import OrderedDict\n",
        "import random\n",
        "import warnings\n",
        "from datetime import datetime\n",
        "import joblib\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "from sklearn.model_selection import KFold, StratifiedKFold\n",
        "\n",
        "import keras\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.models import Sequential, load_model\n",
        "from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization\n",
        "from keras.layers import Conv2D, MaxPooling2D, Input\n",
        "from keras.optimizers import SGD, Adam, RMSprop\n",
        "from keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau, CSVLogger, LearningRateScheduler, TerminateOnNaN, LambdaCallback\n",
        "from keras import Model, optimizers\n",
        "from keras import regularizers\n",
        "\n",
        "import archs\n",
        "from metrics import *\n",
        "from scheduler import *\n",
        "\n",
        "from matplotlib import pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5i6fqv6aoWsk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%mkdir data\n",
        "%mkdir models"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1mR75IgIe488",
        "colab_type": "code",
        "outputId": "0349ff6f-bf11-4645-d507-2e1f8c589829",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "def load_data():\n",
        "    X = np.load('data/5c-face-image.npy',allow_pickle=True)\n",
        "    y = np.load('data/5c-face-label.npy',allow_pickle=True)\n",
        "    print('Loaded: ', X.shape, y.shape)\n",
        "    \n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=42)\n",
        "\n",
        "    np.savez_compressed('data/zipped-faces.npz', X_train, X_test, y_train, y_test)\n",
        "    \n",
        "load_data() "
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded:  (1231, 128, 128, 3) (1231,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sH5Ul_iGe-Kr",
        "colab_type": "code",
        "outputId": "f1138eef-9bff-4502-b05d-56a865ab34fc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "# load the face dataset\n",
        "data = np.load('data/zipped-faces.npz')\n",
        "trainX, testX, trainy, testy = data['arr_0'], data['arr_1'], data['arr_2'], data['arr_3']\n",
        "print('Loaded: ', trainX.shape, trainy.shape, testX.shape, testy.shape)"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded:  (984, 128, 128, 3) (984,) (247, 128, 128, 3) (247,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T3aC3kNVgLgy",
        "colab_type": "code",
        "outputId": "0424b3eb-04de-496c-a6a2-3668713a1a79",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(\"Training Sample: \", trainX.shape, \" || \", \"Training Labels: \", trainy.shape)\n",
        "print(\"Testing Sample: \", testX.shape, \" || \", \"Testing Labels: \", testy.shape)\n",
        "\n",
        "# Normalizing Data\n",
        "trainX = trainX.astype('float32') / 255\n",
        "testX = testX.astype('float32') / 255"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Training Sample:  (984, 128, 128, 3)  ||  Training Labels:  (984,)\n",
            "Testing Sample:  (247, 128, 128, 3)  ||  Testing Labels:  (247,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "p3o3CPavjXDP",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PFn5bRsuhMVb",
        "colab_type": "code",
        "outputId": "adecd147-6142-408d-c210-a823b441bfba",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 753
        }
      },
      "source": [
        "arcface_model = load_model('models/emb-model.h5')\n",
        "print(\"Model Loaded\")\n",
        "arcface_model.summary()"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model Loaded\n",
            "Model: \"model_6\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "input_7 (InputLayer)         (None, 128, 128, 3)       0         \n",
            "_________________________________________________________________\n",
            "conv2d_10 (Conv2D)           (None, 126, 126, 32)      896       \n",
            "_________________________________________________________________\n",
            "batch_normalization_10 (Batc (None, 126, 126, 32)      128       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_10 (MaxPooling (None, 63, 63, 32)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_11 (Conv2D)           (None, 61, 61, 32)        9248      \n",
            "_________________________________________________________________\n",
            "batch_normalization_11 (Batc (None, 61, 61, 32)        128       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_11 (MaxPooling (None, 30, 30, 32)        0         \n",
            "_________________________________________________________________\n",
            "dropout_10 (Dropout)         (None, 30, 30, 32)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_12 (Conv2D)           (None, 28, 28, 64)        18496     \n",
            "_________________________________________________________________\n",
            "batch_normalization_12 (Batc (None, 28, 28, 64)        256       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_12 (MaxPooling (None, 14, 14, 64)        0         \n",
            "_________________________________________________________________\n",
            "dropout_11 (Dropout)         (None, 14, 14, 64)        0         \n",
            "_________________________________________________________________\n",
            "flatten_4 (Flatten)          (None, 12544)             0         \n",
            "_________________________________________________________________\n",
            "dense_4 (Dense)              (None, 128)               1605760   \n",
            "=================================================================\n",
            "Total params: 1,634,912\n",
            "Trainable params: 1,634,656\n",
            "Non-trainable params: 256\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py:310: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.\n",
            "  warnings.warn('No training configuration found in save file: '\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rSliEPxMhSGD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_embedding(samples):\n",
        "    emd_features = arcface_model.predict(samples, verbose=1)\n",
        "    emd_features /= np.linalg.norm(emd_features, axis=1, keepdims=True)\n",
        "    \n",
        "    return emd_features"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1NSZ_wkRjhqb",
        "colab_type": "code",
        "outputId": "3d35ab2b-f337-4279-b819-fdc355b72364",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        }
      },
      "source": [
        "# For training set\n",
        "emdtrainX = get_embedding(trainX)\n",
        "emdTrainX = np.asarray(emdtrainX)\n",
        "print(emdTrainX.shape)\n",
        "\n",
        "# For testing set\n",
        "emdtestX = get_embedding(testX)\n",
        "emdTestX = np.asarray(emdtestX)\n",
        "print(emdtestX.shape)"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "984/984 [==============================] - 1s 1ms/step\n",
            "(984, 128)\n",
            "247/247 [==============================] - 0s 612us/step\n",
            "(247, 128)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y7c1nPYnjk8L",
        "colab_type": "code",
        "outputId": "4263b6fc-ca5c-43a9-fcd9-10b61ce12328",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.preprocessing import Normalizer\n",
        "\n",
        "\n",
        "print(\"Dataset: train=%d, test=%d\" % (emdTrainX.shape[0], emdTestX.shape[0]))\n",
        "\n",
        "# normalize input vectors\n",
        "in_encoder = Normalizer()\n",
        "emdTrainX_norm = in_encoder.transform(emdTrainX)\n",
        "emdTestX_norm = in_encoder.transform(emdTestX)\n",
        "\n",
        "# label encode targets\n",
        "out_encoder = LabelEncoder()\n",
        "out_encoder.fit(trainy)\n",
        "trainy_enc = out_encoder.transform(trainy)\n",
        "testy_enc = out_encoder.transform(testy)\n",
        "\n",
        "print(out_encoder.classes_)"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Dataset: train=984, test=247\n",
            "['Belal' 'Hameem' 'Joydip' 'Niloy' 'Sakib']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m5TeAHrsm-Il",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "num_classes = 5\n",
        "\n",
        "# convert class vectors to binary class matrices\n",
        "y_train = keras.utils.to_categorical(trainy_enc, num_classes)\n",
        "y_test = keras.utils.to_categorical(testy_enc, num_classes)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KXpT-15woXV7",
        "colab_type": "code",
        "outputId": "a6418192-be2b-4752-c0fa-7e9da3caa87f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "model = Sequential()\n",
        "model.add(Dense(512, activation='relu', input_shape=(128,)))\n",
        "model.add(Dropout(0.8))\n",
        "model.add(Dense(256, activation='relu'))\n",
        "model.add(Dropout(0.5))\n",
        "model.add(Dense(num_classes, activation='softmax'))\n",
        "\n",
        "model.summary()\n",
        "\n",
        "model.compile(loss='categorical_crossentropy',\n",
        "              optimizer=Adam(lr=0.0001),\n",
        "              metrics=['accuracy'])\n",
        "\n",
        "history = model.fit(emdTrainX_norm, y_train,\n",
        "                    batch_size=128,\n",
        "                    epochs=2000,\n",
        "                    verbose=1,\n",
        "                    validation_data=(emdTestX_norm, y_test))\n",
        "\n",
        "score = model.evaluate(emdTestX_norm, y_test, verbose=0)\n",
        "print('Test loss:', score[0])\n",
        "print('Test accuracy:', score[1])"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_4 (Dense)              (None, 512)               66048     \n",
            "_________________________________________________________________\n",
            "dropout_3 (Dropout)          (None, 512)               0         \n",
            "_________________________________________________________________\n",
            "dense_5 (Dense)              (None, 256)               131328    \n",
            "_________________________________________________________________\n",
            "dropout_4 (Dropout)          (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "dense_6 (Dense)              (None, 5)                 1285      \n",
            "=================================================================\n",
            "Total params: 198,661\n",
            "Trainable params: 198,661\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Train on 984 samples, validate on 247 samples\n",
            "Epoch 1/2000\n",
            "984/984 [==============================] - 1s 1ms/step - loss: 1.6170 - acc: 0.2063 - val_loss: 1.6005 - val_acc: 0.2510\n",
            "Epoch 2/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 1.6007 - acc: 0.2449 - val_loss: 1.5888 - val_acc: 0.4049\n",
            "Epoch 3/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 1.5915 - acc: 0.2398 - val_loss: 1.5773 - val_acc: 0.4534\n",
            "Epoch 4/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 1.5933 - acc: 0.2561 - val_loss: 1.5658 - val_acc: 0.4696\n",
            "Epoch 5/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 1.5672 - acc: 0.3069 - val_loss: 1.5543 - val_acc: 0.4939\n",
            "Epoch 6/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 1.5572 - acc: 0.3537 - val_loss: 1.5424 - val_acc: 0.5182\n",
            "Epoch 7/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 1.5591 - acc: 0.3252 - val_loss: 1.5303 - val_acc: 0.5182\n",
            "Epoch 8/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 1.5454 - acc: 0.3567 - val_loss: 1.5174 - val_acc: 0.5182\n",
            "Epoch 9/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 1.5304 - acc: 0.3720 - val_loss: 1.5042 - val_acc: 0.5223\n",
            "Epoch 10/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 1.5141 - acc: 0.3963 - val_loss: 1.4901 - val_acc: 0.5344\n",
            "Epoch 11/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 1.5071 - acc: 0.4055 - val_loss: 1.4750 - val_acc: 0.5547\n",
            "Epoch 12/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 1.4966 - acc: 0.4278 - val_loss: 1.4592 - val_acc: 0.5547\n",
            "Epoch 13/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 1.4846 - acc: 0.4329 - val_loss: 1.4431 - val_acc: 0.5547\n",
            "Epoch 14/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 1.4646 - acc: 0.4563 - val_loss: 1.4255 - val_acc: 0.5547\n",
            "Epoch 15/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 1.4521 - acc: 0.4766 - val_loss: 1.4075 - val_acc: 0.5587\n",
            "Epoch 16/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 1.4293 - acc: 0.5000 - val_loss: 1.3884 - val_acc: 0.5668\n",
            "Epoch 17/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 1.4218 - acc: 0.5010 - val_loss: 1.3686 - val_acc: 0.5668\n",
            "Epoch 18/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 1.4005 - acc: 0.5081 - val_loss: 1.3482 - val_acc: 0.5668\n",
            "Epoch 19/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 1.3782 - acc: 0.5224 - val_loss: 1.3270 - val_acc: 0.5668\n",
            "Epoch 20/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 1.3664 - acc: 0.5152 - val_loss: 1.3055 - val_acc: 0.5709\n",
            "Epoch 21/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 1.3506 - acc: 0.5142 - val_loss: 1.2849 - val_acc: 0.5789\n",
            "Epoch 22/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 1.3290 - acc: 0.5264 - val_loss: 1.2639 - val_acc: 0.5830\n",
            "Epoch 23/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 1.3150 - acc: 0.5234 - val_loss: 1.2436 - val_acc: 0.5870\n",
            "Epoch 24/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 1.2995 - acc: 0.5346 - val_loss: 1.2235 - val_acc: 0.5951\n",
            "Epoch 25/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 1.2746 - acc: 0.5488 - val_loss: 1.2030 - val_acc: 0.6113\n",
            "Epoch 26/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 1.2602 - acc: 0.5610 - val_loss: 1.1835 - val_acc: 0.6113\n",
            "Epoch 27/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 1.2457 - acc: 0.5467 - val_loss: 1.1654 - val_acc: 0.6154\n",
            "Epoch 28/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 1.2143 - acc: 0.5803 - val_loss: 1.1479 - val_acc: 0.6154\n",
            "Epoch 29/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 1.2034 - acc: 0.5498 - val_loss: 1.1306 - val_acc: 0.6275\n",
            "Epoch 30/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 1.1904 - acc: 0.5752 - val_loss: 1.1145 - val_acc: 0.6437\n",
            "Epoch 31/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 1.1715 - acc: 0.5772 - val_loss: 1.0973 - val_acc: 0.6397\n",
            "Epoch 32/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 1.1733 - acc: 0.5691 - val_loss: 1.0823 - val_acc: 0.6437\n",
            "Epoch 33/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 1.1602 - acc: 0.5945 - val_loss: 1.0683 - val_acc: 0.6437\n",
            "Epoch 34/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 1.1491 - acc: 0.5935 - val_loss: 1.0563 - val_acc: 0.6397\n",
            "Epoch 35/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 1.1513 - acc: 0.5701 - val_loss: 1.0452 - val_acc: 0.6518\n",
            "Epoch 36/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 1.1176 - acc: 0.6098 - val_loss: 1.0348 - val_acc: 0.6518\n",
            "Epoch 37/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 1.1251 - acc: 0.6077 - val_loss: 1.0252 - val_acc: 0.6478\n",
            "Epoch 38/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 1.0995 - acc: 0.6037 - val_loss: 1.0161 - val_acc: 0.6478\n",
            "Epoch 39/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 1.0959 - acc: 0.6067 - val_loss: 1.0061 - val_acc: 0.6518\n",
            "Epoch 40/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 1.0933 - acc: 0.6067 - val_loss: 0.9982 - val_acc: 0.6559\n",
            "Epoch 41/2000\n",
            "984/984 [==============================] - 0s 63us/step - loss: 1.0688 - acc: 0.6179 - val_loss: 0.9890 - val_acc: 0.6640\n",
            "Epoch 42/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 1.0651 - acc: 0.6026 - val_loss: 0.9811 - val_acc: 0.6599\n",
            "Epoch 43/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 1.0668 - acc: 0.6260 - val_loss: 0.9745 - val_acc: 0.6599\n",
            "Epoch 44/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 1.0518 - acc: 0.6341 - val_loss: 0.9674 - val_acc: 0.6599\n",
            "Epoch 45/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 1.0397 - acc: 0.6463 - val_loss: 0.9604 - val_acc: 0.6680\n",
            "Epoch 46/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 1.0311 - acc: 0.6270 - val_loss: 0.9531 - val_acc: 0.6680\n",
            "Epoch 47/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 1.0135 - acc: 0.6209 - val_loss: 0.9464 - val_acc: 0.6680\n",
            "Epoch 48/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 1.0154 - acc: 0.6413 - val_loss: 0.9398 - val_acc: 0.6640\n",
            "Epoch 49/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 1.0149 - acc: 0.6220 - val_loss: 0.9350 - val_acc: 0.6680\n",
            "Epoch 50/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.9930 - acc: 0.6331 - val_loss: 0.9290 - val_acc: 0.6721\n",
            "Epoch 51/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.9863 - acc: 0.6494 - val_loss: 0.9222 - val_acc: 0.6761\n",
            "Epoch 52/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.9993 - acc: 0.6474 - val_loss: 0.9171 - val_acc: 0.6842\n",
            "Epoch 53/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 1.0009 - acc: 0.6575 - val_loss: 0.9115 - val_acc: 0.6842\n",
            "Epoch 54/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.9905 - acc: 0.6524 - val_loss: 0.9061 - val_acc: 0.6883\n",
            "Epoch 55/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.9802 - acc: 0.6626 - val_loss: 0.9022 - val_acc: 0.6883\n",
            "Epoch 56/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.9712 - acc: 0.6555 - val_loss: 0.8967 - val_acc: 0.6883\n",
            "Epoch 57/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.9549 - acc: 0.6565 - val_loss: 0.8921 - val_acc: 0.6883\n",
            "Epoch 58/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.9507 - acc: 0.6697 - val_loss: 0.8878 - val_acc: 0.6883\n",
            "Epoch 59/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.9327 - acc: 0.6636 - val_loss: 0.8827 - val_acc: 0.6883\n",
            "Epoch 60/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.9529 - acc: 0.6728 - val_loss: 0.8776 - val_acc: 0.6923\n",
            "Epoch 61/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.9481 - acc: 0.6667 - val_loss: 0.8734 - val_acc: 0.6964\n",
            "Epoch 62/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.9297 - acc: 0.6626 - val_loss: 0.8686 - val_acc: 0.7004\n",
            "Epoch 63/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.9343 - acc: 0.6697 - val_loss: 0.8642 - val_acc: 0.7004\n",
            "Epoch 64/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.9310 - acc: 0.6768 - val_loss: 0.8602 - val_acc: 0.7045\n",
            "Epoch 65/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.8948 - acc: 0.6900 - val_loss: 0.8564 - val_acc: 0.7045\n",
            "Epoch 66/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.9070 - acc: 0.6809 - val_loss: 0.8507 - val_acc: 0.7045\n",
            "Epoch 67/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.8947 - acc: 0.6809 - val_loss: 0.8456 - val_acc: 0.7045\n",
            "Epoch 68/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.8972 - acc: 0.6890 - val_loss: 0.8416 - val_acc: 0.7045\n",
            "Epoch 69/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.8789 - acc: 0.6982 - val_loss: 0.8386 - val_acc: 0.7085\n",
            "Epoch 70/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.9063 - acc: 0.6799 - val_loss: 0.8337 - val_acc: 0.7045\n",
            "Epoch 71/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.8691 - acc: 0.7012 - val_loss: 0.8309 - val_acc: 0.7126\n",
            "Epoch 72/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.8814 - acc: 0.6819 - val_loss: 0.8275 - val_acc: 0.7126\n",
            "Epoch 73/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.8773 - acc: 0.7073 - val_loss: 0.8232 - val_acc: 0.7085\n",
            "Epoch 74/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.8746 - acc: 0.6911 - val_loss: 0.8198 - val_acc: 0.7085\n",
            "Epoch 75/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.8441 - acc: 0.7063 - val_loss: 0.8171 - val_acc: 0.7085\n",
            "Epoch 76/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.8565 - acc: 0.6972 - val_loss: 0.8136 - val_acc: 0.7085\n",
            "Epoch 77/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.8997 - acc: 0.6667 - val_loss: 0.8098 - val_acc: 0.7126\n",
            "Epoch 78/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.8493 - acc: 0.6941 - val_loss: 0.8059 - val_acc: 0.7126\n",
            "Epoch 79/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.8616 - acc: 0.6931 - val_loss: 0.8018 - val_acc: 0.7166\n",
            "Epoch 80/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.8574 - acc: 0.6982 - val_loss: 0.7987 - val_acc: 0.7206\n",
            "Epoch 81/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.8483 - acc: 0.7185 - val_loss: 0.7954 - val_acc: 0.7166\n",
            "Epoch 82/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.8092 - acc: 0.7195 - val_loss: 0.7905 - val_acc: 0.7166\n",
            "Epoch 83/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.8426 - acc: 0.6982 - val_loss: 0.7871 - val_acc: 0.7166\n",
            "Epoch 84/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.8307 - acc: 0.7083 - val_loss: 0.7846 - val_acc: 0.7206\n",
            "Epoch 85/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.8483 - acc: 0.7083 - val_loss: 0.7808 - val_acc: 0.7206\n",
            "Epoch 86/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.7988 - acc: 0.7165 - val_loss: 0.7777 - val_acc: 0.7247\n",
            "Epoch 87/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.8147 - acc: 0.7185 - val_loss: 0.7755 - val_acc: 0.7247\n",
            "Epoch 88/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.8124 - acc: 0.7165 - val_loss: 0.7734 - val_acc: 0.7328\n",
            "Epoch 89/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.8053 - acc: 0.7226 - val_loss: 0.7697 - val_acc: 0.7287\n",
            "Epoch 90/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.8175 - acc: 0.7215 - val_loss: 0.7663 - val_acc: 0.7328\n",
            "Epoch 91/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.8133 - acc: 0.7154 - val_loss: 0.7626 - val_acc: 0.7409\n",
            "Epoch 92/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.7905 - acc: 0.7287 - val_loss: 0.7584 - val_acc: 0.7409\n",
            "Epoch 93/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.7870 - acc: 0.7307 - val_loss: 0.7560 - val_acc: 0.7409\n",
            "Epoch 94/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.8029 - acc: 0.7063 - val_loss: 0.7516 - val_acc: 0.7368\n",
            "Epoch 95/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.7896 - acc: 0.7276 - val_loss: 0.7478 - val_acc: 0.7409\n",
            "Epoch 96/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.7910 - acc: 0.7276 - val_loss: 0.7442 - val_acc: 0.7409\n",
            "Epoch 97/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.7878 - acc: 0.7043 - val_loss: 0.7423 - val_acc: 0.7409\n",
            "Epoch 98/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.7823 - acc: 0.7276 - val_loss: 0.7399 - val_acc: 0.7409\n",
            "Epoch 99/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.7928 - acc: 0.7236 - val_loss: 0.7366 - val_acc: 0.7409\n",
            "Epoch 100/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.7560 - acc: 0.7449 - val_loss: 0.7328 - val_acc: 0.7449\n",
            "Epoch 101/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.7598 - acc: 0.7287 - val_loss: 0.7296 - val_acc: 0.7449\n",
            "Epoch 102/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.7639 - acc: 0.7327 - val_loss: 0.7270 - val_acc: 0.7449\n",
            "Epoch 103/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.7682 - acc: 0.7368 - val_loss: 0.7246 - val_acc: 0.7449\n",
            "Epoch 104/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.7508 - acc: 0.7368 - val_loss: 0.7212 - val_acc: 0.7449\n",
            "Epoch 105/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.7475 - acc: 0.7409 - val_loss: 0.7168 - val_acc: 0.7449\n",
            "Epoch 106/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.7476 - acc: 0.7317 - val_loss: 0.7141 - val_acc: 0.7449\n",
            "Epoch 107/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.7274 - acc: 0.7358 - val_loss: 0.7101 - val_acc: 0.7449\n",
            "Epoch 108/2000\n",
            "984/984 [==============================] - 0s 63us/step - loss: 0.7372 - acc: 0.7388 - val_loss: 0.7066 - val_acc: 0.7530\n",
            "Epoch 109/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.7315 - acc: 0.7449 - val_loss: 0.7036 - val_acc: 0.7530\n",
            "Epoch 110/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.7477 - acc: 0.7337 - val_loss: 0.7018 - val_acc: 0.7530\n",
            "Epoch 111/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.7335 - acc: 0.7459 - val_loss: 0.7005 - val_acc: 0.7490\n",
            "Epoch 112/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.7382 - acc: 0.7490 - val_loss: 0.6988 - val_acc: 0.7530\n",
            "Epoch 113/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.7317 - acc: 0.7409 - val_loss: 0.6957 - val_acc: 0.7530\n",
            "Epoch 114/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.7160 - acc: 0.7510 - val_loss: 0.6916 - val_acc: 0.7490\n",
            "Epoch 115/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.7330 - acc: 0.7439 - val_loss: 0.6886 - val_acc: 0.7490\n",
            "Epoch 116/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.7125 - acc: 0.7500 - val_loss: 0.6855 - val_acc: 0.7490\n",
            "Epoch 117/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.7172 - acc: 0.7429 - val_loss: 0.6827 - val_acc: 0.7530\n",
            "Epoch 118/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.7160 - acc: 0.7449 - val_loss: 0.6783 - val_acc: 0.7530\n",
            "Epoch 119/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.6940 - acc: 0.7500 - val_loss: 0.6760 - val_acc: 0.7530\n",
            "Epoch 120/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.7061 - acc: 0.7388 - val_loss: 0.6739 - val_acc: 0.7530\n",
            "Epoch 121/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.6946 - acc: 0.7713 - val_loss: 0.6713 - val_acc: 0.7490\n",
            "Epoch 122/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.7036 - acc: 0.7591 - val_loss: 0.6690 - val_acc: 0.7490\n",
            "Epoch 123/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.6918 - acc: 0.7551 - val_loss: 0.6657 - val_acc: 0.7571\n",
            "Epoch 124/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.6815 - acc: 0.7591 - val_loss: 0.6623 - val_acc: 0.7571\n",
            "Epoch 125/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.6760 - acc: 0.7612 - val_loss: 0.6590 - val_acc: 0.7571\n",
            "Epoch 126/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.6886 - acc: 0.7500 - val_loss: 0.6563 - val_acc: 0.7571\n",
            "Epoch 127/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.6897 - acc: 0.7713 - val_loss: 0.6551 - val_acc: 0.7571\n",
            "Epoch 128/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.6824 - acc: 0.7693 - val_loss: 0.6520 - val_acc: 0.7611\n",
            "Epoch 129/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.6798 - acc: 0.7673 - val_loss: 0.6493 - val_acc: 0.7611\n",
            "Epoch 130/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.6915 - acc: 0.7571 - val_loss: 0.6461 - val_acc: 0.7611\n",
            "Epoch 131/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.6723 - acc: 0.7581 - val_loss: 0.6441 - val_acc: 0.7571\n",
            "Epoch 132/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.6599 - acc: 0.7703 - val_loss: 0.6411 - val_acc: 0.7611\n",
            "Epoch 133/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.6708 - acc: 0.7642 - val_loss: 0.6368 - val_acc: 0.7652\n",
            "Epoch 134/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.6751 - acc: 0.7612 - val_loss: 0.6350 - val_acc: 0.7652\n",
            "Epoch 135/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.6737 - acc: 0.7774 - val_loss: 0.6330 - val_acc: 0.7692\n",
            "Epoch 136/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.6731 - acc: 0.7622 - val_loss: 0.6310 - val_acc: 0.7692\n",
            "Epoch 137/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.6576 - acc: 0.7571 - val_loss: 0.6302 - val_acc: 0.7773\n",
            "Epoch 138/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.6702 - acc: 0.7530 - val_loss: 0.6265 - val_acc: 0.7773\n",
            "Epoch 139/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.6514 - acc: 0.7642 - val_loss: 0.6219 - val_acc: 0.7773\n",
            "Epoch 140/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.6719 - acc: 0.7673 - val_loss: 0.6185 - val_acc: 0.7814\n",
            "Epoch 141/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.6480 - acc: 0.7602 - val_loss: 0.6164 - val_acc: 0.7814\n",
            "Epoch 142/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.6506 - acc: 0.7927 - val_loss: 0.6141 - val_acc: 0.7773\n",
            "Epoch 143/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.6442 - acc: 0.7795 - val_loss: 0.6113 - val_acc: 0.7773\n",
            "Epoch 144/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.6302 - acc: 0.7835 - val_loss: 0.6088 - val_acc: 0.7773\n",
            "Epoch 145/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.6746 - acc: 0.7683 - val_loss: 0.6053 - val_acc: 0.7773\n",
            "Epoch 146/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.6281 - acc: 0.7805 - val_loss: 0.6014 - val_acc: 0.7854\n",
            "Epoch 147/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.6513 - acc: 0.7642 - val_loss: 0.6007 - val_acc: 0.7854\n",
            "Epoch 148/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.6356 - acc: 0.7774 - val_loss: 0.5975 - val_acc: 0.7814\n",
            "Epoch 149/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5939 - acc: 0.7835 - val_loss: 0.5948 - val_acc: 0.7773\n",
            "Epoch 150/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.6341 - acc: 0.7693 - val_loss: 0.5909 - val_acc: 0.7773\n",
            "Epoch 151/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.5990 - acc: 0.7978 - val_loss: 0.5875 - val_acc: 0.7814\n",
            "Epoch 152/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.6238 - acc: 0.7825 - val_loss: 0.5843 - val_acc: 0.7854\n",
            "Epoch 153/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.6315 - acc: 0.7724 - val_loss: 0.5825 - val_acc: 0.7814\n",
            "Epoch 154/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.6247 - acc: 0.7734 - val_loss: 0.5817 - val_acc: 0.7895\n",
            "Epoch 155/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.6145 - acc: 0.7795 - val_loss: 0.5802 - val_acc: 0.7895\n",
            "Epoch 156/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.6056 - acc: 0.7856 - val_loss: 0.5775 - val_acc: 0.7895\n",
            "Epoch 157/2000\n",
            "984/984 [==============================] - 0s 63us/step - loss: 0.6129 - acc: 0.7856 - val_loss: 0.5740 - val_acc: 0.7895\n",
            "Epoch 158/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.6254 - acc: 0.7795 - val_loss: 0.5713 - val_acc: 0.7895\n",
            "Epoch 159/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.6192 - acc: 0.7917 - val_loss: 0.5689 - val_acc: 0.7895\n",
            "Epoch 160/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.6032 - acc: 0.7795 - val_loss: 0.5660 - val_acc: 0.7895\n",
            "Epoch 161/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.5843 - acc: 0.7907 - val_loss: 0.5639 - val_acc: 0.7895\n",
            "Epoch 162/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5904 - acc: 0.7866 - val_loss: 0.5610 - val_acc: 0.7935\n",
            "Epoch 163/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.5853 - acc: 0.7998 - val_loss: 0.5592 - val_acc: 0.7976\n",
            "Epoch 164/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.6002 - acc: 0.7876 - val_loss: 0.5576 - val_acc: 0.7935\n",
            "Epoch 165/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.5885 - acc: 0.7998 - val_loss: 0.5558 - val_acc: 0.7976\n",
            "Epoch 166/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.5786 - acc: 0.7886 - val_loss: 0.5536 - val_acc: 0.7935\n",
            "Epoch 167/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.5906 - acc: 0.7978 - val_loss: 0.5502 - val_acc: 0.7976\n",
            "Epoch 168/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5931 - acc: 0.7967 - val_loss: 0.5467 - val_acc: 0.7976\n",
            "Epoch 169/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.5855 - acc: 0.7846 - val_loss: 0.5441 - val_acc: 0.8016\n",
            "Epoch 170/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.5630 - acc: 0.7937 - val_loss: 0.5421 - val_acc: 0.8016\n",
            "Epoch 171/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.5445 - acc: 0.8130 - val_loss: 0.5390 - val_acc: 0.8016\n",
            "Epoch 172/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5801 - acc: 0.8110 - val_loss: 0.5373 - val_acc: 0.8016\n",
            "Epoch 173/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.5589 - acc: 0.8089 - val_loss: 0.5339 - val_acc: 0.8057\n",
            "Epoch 174/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.5701 - acc: 0.7825 - val_loss: 0.5309 - val_acc: 0.8057\n",
            "Epoch 175/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.5665 - acc: 0.8039 - val_loss: 0.5281 - val_acc: 0.8057\n",
            "Epoch 176/2000\n",
            "984/984 [==============================] - 0s 67us/step - loss: 0.5405 - acc: 0.8140 - val_loss: 0.5263 - val_acc: 0.8016\n",
            "Epoch 177/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.5562 - acc: 0.8049 - val_loss: 0.5234 - val_acc: 0.8057\n",
            "Epoch 178/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.5410 - acc: 0.8222 - val_loss: 0.5222 - val_acc: 0.8097\n",
            "Epoch 179/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.5699 - acc: 0.8130 - val_loss: 0.5214 - val_acc: 0.8097\n",
            "Epoch 180/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.5708 - acc: 0.8018 - val_loss: 0.5183 - val_acc: 0.8138\n",
            "Epoch 181/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.5620 - acc: 0.8089 - val_loss: 0.5165 - val_acc: 0.8178\n",
            "Epoch 182/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.5436 - acc: 0.8120 - val_loss: 0.5150 - val_acc: 0.8138\n",
            "Epoch 183/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.5497 - acc: 0.8150 - val_loss: 0.5127 - val_acc: 0.8138\n",
            "Epoch 184/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.5496 - acc: 0.8039 - val_loss: 0.5093 - val_acc: 0.8138\n",
            "Epoch 185/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.5587 - acc: 0.8039 - val_loss: 0.5067 - val_acc: 0.8138\n",
            "Epoch 186/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.5447 - acc: 0.8110 - val_loss: 0.5054 - val_acc: 0.8178\n",
            "Epoch 187/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.5431 - acc: 0.8333 - val_loss: 0.5034 - val_acc: 0.8178\n",
            "Epoch 188/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5164 - acc: 0.8232 - val_loss: 0.5006 - val_acc: 0.8138\n",
            "Epoch 189/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.5338 - acc: 0.8181 - val_loss: 0.4971 - val_acc: 0.8138\n",
            "Epoch 190/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.5191 - acc: 0.8252 - val_loss: 0.4957 - val_acc: 0.8219\n",
            "Epoch 191/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.5295 - acc: 0.8130 - val_loss: 0.4951 - val_acc: 0.8219\n",
            "Epoch 192/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.5296 - acc: 0.8171 - val_loss: 0.4934 - val_acc: 0.8259\n",
            "Epoch 193/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.5285 - acc: 0.8100 - val_loss: 0.4908 - val_acc: 0.8300\n",
            "Epoch 194/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.5038 - acc: 0.8333 - val_loss: 0.4896 - val_acc: 0.8259\n",
            "Epoch 195/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.5346 - acc: 0.8211 - val_loss: 0.4880 - val_acc: 0.8300\n",
            "Epoch 196/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5262 - acc: 0.8211 - val_loss: 0.4839 - val_acc: 0.8340\n",
            "Epoch 197/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5177 - acc: 0.8242 - val_loss: 0.4808 - val_acc: 0.8300\n",
            "Epoch 198/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.5092 - acc: 0.8343 - val_loss: 0.4776 - val_acc: 0.8340\n",
            "Epoch 199/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.4950 - acc: 0.8283 - val_loss: 0.4754 - val_acc: 0.8300\n",
            "Epoch 200/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5123 - acc: 0.8283 - val_loss: 0.4743 - val_acc: 0.8340\n",
            "Epoch 201/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.5056 - acc: 0.8232 - val_loss: 0.4735 - val_acc: 0.8340\n",
            "Epoch 202/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.5087 - acc: 0.8364 - val_loss: 0.4719 - val_acc: 0.8340\n",
            "Epoch 203/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.5056 - acc: 0.8089 - val_loss: 0.4698 - val_acc: 0.8340\n",
            "Epoch 204/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.4869 - acc: 0.8394 - val_loss: 0.4684 - val_acc: 0.8340\n",
            "Epoch 205/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.4917 - acc: 0.8252 - val_loss: 0.4666 - val_acc: 0.8340\n",
            "Epoch 206/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.5006 - acc: 0.8262 - val_loss: 0.4633 - val_acc: 0.8340\n",
            "Epoch 207/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.5006 - acc: 0.8120 - val_loss: 0.4603 - val_acc: 0.8340\n",
            "Epoch 208/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.4941 - acc: 0.8404 - val_loss: 0.4572 - val_acc: 0.8421\n",
            "Epoch 209/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.4819 - acc: 0.8343 - val_loss: 0.4550 - val_acc: 0.8502\n",
            "Epoch 210/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.5020 - acc: 0.8232 - val_loss: 0.4542 - val_acc: 0.8421\n",
            "Epoch 211/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.4818 - acc: 0.8293 - val_loss: 0.4535 - val_acc: 0.8421\n",
            "Epoch 212/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.4815 - acc: 0.8303 - val_loss: 0.4518 - val_acc: 0.8421\n",
            "Epoch 213/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.4852 - acc: 0.8333 - val_loss: 0.4506 - val_acc: 0.8462\n",
            "Epoch 214/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.4745 - acc: 0.8262 - val_loss: 0.4477 - val_acc: 0.8462\n",
            "Epoch 215/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.4564 - acc: 0.8547 - val_loss: 0.4454 - val_acc: 0.8462\n",
            "Epoch 216/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.4667 - acc: 0.8425 - val_loss: 0.4442 - val_acc: 0.8462\n",
            "Epoch 217/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.4700 - acc: 0.8323 - val_loss: 0.4422 - val_acc: 0.8462\n",
            "Epoch 218/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.4647 - acc: 0.8354 - val_loss: 0.4388 - val_acc: 0.8543\n",
            "Epoch 219/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.4857 - acc: 0.8415 - val_loss: 0.4358 - val_acc: 0.8543\n",
            "Epoch 220/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.4727 - acc: 0.8354 - val_loss: 0.4349 - val_acc: 0.8543\n",
            "Epoch 221/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.4643 - acc: 0.8465 - val_loss: 0.4331 - val_acc: 0.8583\n",
            "Epoch 222/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.4745 - acc: 0.8272 - val_loss: 0.4318 - val_acc: 0.8583\n",
            "Epoch 223/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.4809 - acc: 0.8415 - val_loss: 0.4312 - val_acc: 0.8583\n",
            "Epoch 224/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.4378 - acc: 0.8638 - val_loss: 0.4293 - val_acc: 0.8583\n",
            "Epoch 225/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.4456 - acc: 0.8567 - val_loss: 0.4259 - val_acc: 0.8583\n",
            "Epoch 226/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.4566 - acc: 0.8455 - val_loss: 0.4245 - val_acc: 0.8543\n",
            "Epoch 227/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.4477 - acc: 0.8608 - val_loss: 0.4227 - val_acc: 0.8543\n",
            "Epoch 228/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.4401 - acc: 0.8557 - val_loss: 0.4207 - val_acc: 0.8623\n",
            "Epoch 229/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.4424 - acc: 0.8455 - val_loss: 0.4194 - val_acc: 0.8664\n",
            "Epoch 230/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.4372 - acc: 0.8506 - val_loss: 0.4192 - val_acc: 0.8664\n",
            "Epoch 231/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.4564 - acc: 0.8465 - val_loss: 0.4184 - val_acc: 0.8664\n",
            "Epoch 232/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.4309 - acc: 0.8537 - val_loss: 0.4165 - val_acc: 0.8664\n",
            "Epoch 233/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.4542 - acc: 0.8506 - val_loss: 0.4143 - val_acc: 0.8583\n",
            "Epoch 234/2000\n",
            "984/984 [==============================] - 0s 63us/step - loss: 0.4342 - acc: 0.8587 - val_loss: 0.4113 - val_acc: 0.8543\n",
            "Epoch 235/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.4281 - acc: 0.8638 - val_loss: 0.4094 - val_acc: 0.8623\n",
            "Epoch 236/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.4476 - acc: 0.8537 - val_loss: 0.4066 - val_acc: 0.8664\n",
            "Epoch 237/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.4292 - acc: 0.8516 - val_loss: 0.4048 - val_acc: 0.8664\n",
            "Epoch 238/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.4491 - acc: 0.8455 - val_loss: 0.4038 - val_acc: 0.8664\n",
            "Epoch 239/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.4321 - acc: 0.8445 - val_loss: 0.4031 - val_acc: 0.8664\n",
            "Epoch 240/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.4224 - acc: 0.8577 - val_loss: 0.4007 - val_acc: 0.8623\n",
            "Epoch 241/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.4008 - acc: 0.8740 - val_loss: 0.3993 - val_acc: 0.8623\n",
            "Epoch 242/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.4210 - acc: 0.8689 - val_loss: 0.3979 - val_acc: 0.8623\n",
            "Epoch 243/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.4462 - acc: 0.8496 - val_loss: 0.3963 - val_acc: 0.8704\n",
            "Epoch 244/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.4313 - acc: 0.8557 - val_loss: 0.3946 - val_acc: 0.8745\n",
            "Epoch 245/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.4327 - acc: 0.8648 - val_loss: 0.3941 - val_acc: 0.8745\n",
            "Epoch 246/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.4144 - acc: 0.8730 - val_loss: 0.3930 - val_acc: 0.8745\n",
            "Epoch 247/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.4004 - acc: 0.8730 - val_loss: 0.3908 - val_acc: 0.8704\n",
            "Epoch 248/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.4354 - acc: 0.8598 - val_loss: 0.3870 - val_acc: 0.8745\n",
            "Epoch 249/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.4298 - acc: 0.8516 - val_loss: 0.3838 - val_acc: 0.8745\n",
            "Epoch 250/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.4195 - acc: 0.8638 - val_loss: 0.3842 - val_acc: 0.8785\n",
            "Epoch 251/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3957 - acc: 0.8730 - val_loss: 0.3840 - val_acc: 0.8785\n",
            "Epoch 252/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.4007 - acc: 0.8709 - val_loss: 0.3850 - val_acc: 0.8785\n",
            "Epoch 253/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.3825 - acc: 0.8659 - val_loss: 0.3842 - val_acc: 0.8785\n",
            "Epoch 254/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.4130 - acc: 0.8659 - val_loss: 0.3804 - val_acc: 0.8785\n",
            "Epoch 255/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.3878 - acc: 0.8648 - val_loss: 0.3793 - val_acc: 0.8785\n",
            "Epoch 256/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.4167 - acc: 0.8557 - val_loss: 0.3781 - val_acc: 0.8785\n",
            "Epoch 257/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.3901 - acc: 0.8740 - val_loss: 0.3759 - val_acc: 0.8785\n",
            "Epoch 258/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3855 - acc: 0.8587 - val_loss: 0.3748 - val_acc: 0.8785\n",
            "Epoch 259/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3943 - acc: 0.8689 - val_loss: 0.3733 - val_acc: 0.8785\n",
            "Epoch 260/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.4186 - acc: 0.8628 - val_loss: 0.3726 - val_acc: 0.8785\n",
            "Epoch 261/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3785 - acc: 0.8780 - val_loss: 0.3712 - val_acc: 0.8826\n",
            "Epoch 262/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3896 - acc: 0.8618 - val_loss: 0.3702 - val_acc: 0.8826\n",
            "Epoch 263/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.3756 - acc: 0.8720 - val_loss: 0.3695 - val_acc: 0.8785\n",
            "Epoch 264/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3864 - acc: 0.8841 - val_loss: 0.3676 - val_acc: 0.8826\n",
            "Epoch 265/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.4104 - acc: 0.8608 - val_loss: 0.3657 - val_acc: 0.8826\n",
            "Epoch 266/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3847 - acc: 0.8669 - val_loss: 0.3651 - val_acc: 0.8826\n",
            "Epoch 267/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.3641 - acc: 0.8750 - val_loss: 0.3649 - val_acc: 0.8785\n",
            "Epoch 268/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.3689 - acc: 0.8811 - val_loss: 0.3640 - val_acc: 0.8785\n",
            "Epoch 269/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.3549 - acc: 0.8770 - val_loss: 0.3628 - val_acc: 0.8785\n",
            "Epoch 270/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3757 - acc: 0.8760 - val_loss: 0.3602 - val_acc: 0.8785\n",
            "Epoch 271/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3762 - acc: 0.8801 - val_loss: 0.3572 - val_acc: 0.8785\n",
            "Epoch 272/2000\n",
            "984/984 [==============================] - 0s 66us/step - loss: 0.3933 - acc: 0.8659 - val_loss: 0.3564 - val_acc: 0.8785\n",
            "Epoch 273/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3564 - acc: 0.8953 - val_loss: 0.3553 - val_acc: 0.8785\n",
            "Epoch 274/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3743 - acc: 0.8841 - val_loss: 0.3532 - val_acc: 0.8826\n",
            "Epoch 275/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.3828 - acc: 0.8740 - val_loss: 0.3514 - val_acc: 0.8826\n",
            "Epoch 276/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.3614 - acc: 0.8801 - val_loss: 0.3504 - val_acc: 0.8826\n",
            "Epoch 277/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3734 - acc: 0.8841 - val_loss: 0.3506 - val_acc: 0.8785\n",
            "Epoch 278/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.3724 - acc: 0.8689 - val_loss: 0.3500 - val_acc: 0.8785\n",
            "Epoch 279/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.3566 - acc: 0.8821 - val_loss: 0.3489 - val_acc: 0.8785\n",
            "Epoch 280/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3624 - acc: 0.8852 - val_loss: 0.3469 - val_acc: 0.8785\n",
            "Epoch 281/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3578 - acc: 0.8852 - val_loss: 0.3446 - val_acc: 0.8866\n",
            "Epoch 282/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3635 - acc: 0.8750 - val_loss: 0.3429 - val_acc: 0.8866\n",
            "Epoch 283/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3552 - acc: 0.8872 - val_loss: 0.3422 - val_acc: 0.8866\n",
            "Epoch 284/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3614 - acc: 0.8862 - val_loss: 0.3417 - val_acc: 0.8866\n",
            "Epoch 285/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3613 - acc: 0.8831 - val_loss: 0.3407 - val_acc: 0.8866\n",
            "Epoch 286/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.3528 - acc: 0.8882 - val_loss: 0.3413 - val_acc: 0.8826\n",
            "Epoch 287/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3556 - acc: 0.8770 - val_loss: 0.3414 - val_acc: 0.8785\n",
            "Epoch 288/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3729 - acc: 0.8679 - val_loss: 0.3408 - val_acc: 0.8785\n",
            "Epoch 289/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.3616 - acc: 0.8821 - val_loss: 0.3396 - val_acc: 0.8866\n",
            "Epoch 290/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3668 - acc: 0.8791 - val_loss: 0.3376 - val_acc: 0.8866\n",
            "Epoch 291/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.3553 - acc: 0.8821 - val_loss: 0.3346 - val_acc: 0.8826\n",
            "Epoch 292/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.3395 - acc: 0.8821 - val_loss: 0.3329 - val_acc: 0.8826\n",
            "Epoch 293/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3379 - acc: 0.8933 - val_loss: 0.3322 - val_acc: 0.8785\n",
            "Epoch 294/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3325 - acc: 0.8882 - val_loss: 0.3310 - val_acc: 0.8866\n",
            "Epoch 295/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.3579 - acc: 0.8780 - val_loss: 0.3297 - val_acc: 0.8866\n",
            "Epoch 296/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.3402 - acc: 0.8902 - val_loss: 0.3291 - val_acc: 0.8866\n",
            "Epoch 297/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3473 - acc: 0.8862 - val_loss: 0.3279 - val_acc: 0.8785\n",
            "Epoch 298/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.3394 - acc: 0.8913 - val_loss: 0.3264 - val_acc: 0.8785\n",
            "Epoch 299/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3335 - acc: 0.8913 - val_loss: 0.3237 - val_acc: 0.8866\n",
            "Epoch 300/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.3577 - acc: 0.8720 - val_loss: 0.3222 - val_acc: 0.8866\n",
            "Epoch 301/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3271 - acc: 0.8953 - val_loss: 0.3222 - val_acc: 0.8826\n",
            "Epoch 302/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3287 - acc: 0.8882 - val_loss: 0.3206 - val_acc: 0.8826\n",
            "Epoch 303/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3242 - acc: 0.8974 - val_loss: 0.3198 - val_acc: 0.8826\n",
            "Epoch 304/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3341 - acc: 0.8923 - val_loss: 0.3189 - val_acc: 0.8826\n",
            "Epoch 305/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3373 - acc: 0.8791 - val_loss: 0.3174 - val_acc: 0.8826\n",
            "Epoch 306/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3298 - acc: 0.8902 - val_loss: 0.3161 - val_acc: 0.8826\n",
            "Epoch 307/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3374 - acc: 0.8730 - val_loss: 0.3148 - val_acc: 0.8826\n",
            "Epoch 308/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3305 - acc: 0.8923 - val_loss: 0.3141 - val_acc: 0.8826\n",
            "Epoch 309/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.3176 - acc: 0.9004 - val_loss: 0.3121 - val_acc: 0.8826\n",
            "Epoch 310/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3349 - acc: 0.8892 - val_loss: 0.3116 - val_acc: 0.8785\n",
            "Epoch 311/2000\n",
            "984/984 [==============================] - 0s 69us/step - loss: 0.3372 - acc: 0.8841 - val_loss: 0.3114 - val_acc: 0.8785\n",
            "Epoch 312/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3214 - acc: 0.8933 - val_loss: 0.3106 - val_acc: 0.8826\n",
            "Epoch 313/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3168 - acc: 0.9004 - val_loss: 0.3103 - val_acc: 0.8826\n",
            "Epoch 314/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3248 - acc: 0.8862 - val_loss: 0.3083 - val_acc: 0.8826\n",
            "Epoch 315/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.3258 - acc: 0.8974 - val_loss: 0.3050 - val_acc: 0.8866\n",
            "Epoch 316/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3271 - acc: 0.9035 - val_loss: 0.3029 - val_acc: 0.8907\n",
            "Epoch 317/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3066 - acc: 0.9065 - val_loss: 0.3032 - val_acc: 0.8947\n",
            "Epoch 318/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.3352 - acc: 0.8831 - val_loss: 0.3031 - val_acc: 0.8866\n",
            "Epoch 319/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3027 - acc: 0.9035 - val_loss: 0.3014 - val_acc: 0.8907\n",
            "Epoch 320/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2990 - acc: 0.9157 - val_loss: 0.3010 - val_acc: 0.8866\n",
            "Epoch 321/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3319 - acc: 0.9014 - val_loss: 0.3006 - val_acc: 0.8866\n",
            "Epoch 322/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3147 - acc: 0.8943 - val_loss: 0.2991 - val_acc: 0.8866\n",
            "Epoch 323/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3267 - acc: 0.8882 - val_loss: 0.2981 - val_acc: 0.8785\n",
            "Epoch 324/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.3248 - acc: 0.8953 - val_loss: 0.2975 - val_acc: 0.8866\n",
            "Epoch 325/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.3242 - acc: 0.8933 - val_loss: 0.2965 - val_acc: 0.8907\n",
            "Epoch 326/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.2972 - acc: 0.8994 - val_loss: 0.2954 - val_acc: 0.8947\n",
            "Epoch 327/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3160 - acc: 0.8923 - val_loss: 0.2947 - val_acc: 0.8866\n",
            "Epoch 328/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2973 - acc: 0.9055 - val_loss: 0.2940 - val_acc: 0.8866\n",
            "Epoch 329/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.3108 - acc: 0.8943 - val_loss: 0.2945 - val_acc: 0.8988\n",
            "Epoch 330/2000\n",
            "984/984 [==============================] - 0s 63us/step - loss: 0.3019 - acc: 0.9075 - val_loss: 0.2939 - val_acc: 0.8947\n",
            "Epoch 331/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3166 - acc: 0.8943 - val_loss: 0.2930 - val_acc: 0.8907\n",
            "Epoch 332/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.3057 - acc: 0.8892 - val_loss: 0.2925 - val_acc: 0.8826\n",
            "Epoch 333/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2940 - acc: 0.9085 - val_loss: 0.2904 - val_acc: 0.8826\n",
            "Epoch 334/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.3020 - acc: 0.9065 - val_loss: 0.2884 - val_acc: 0.8866\n",
            "Epoch 335/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2880 - acc: 0.9197 - val_loss: 0.2880 - val_acc: 0.8947\n",
            "Epoch 336/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2877 - acc: 0.9085 - val_loss: 0.2874 - val_acc: 0.8988\n",
            "Epoch 337/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2906 - acc: 0.9035 - val_loss: 0.2868 - val_acc: 0.8988\n",
            "Epoch 338/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.3053 - acc: 0.8882 - val_loss: 0.2863 - val_acc: 0.8988\n",
            "Epoch 339/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2902 - acc: 0.9045 - val_loss: 0.2859 - val_acc: 0.8947\n",
            "Epoch 340/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2825 - acc: 0.9106 - val_loss: 0.2854 - val_acc: 0.8866\n",
            "Epoch 341/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3041 - acc: 0.8994 - val_loss: 0.2839 - val_acc: 0.8866\n",
            "Epoch 342/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2975 - acc: 0.8933 - val_loss: 0.2824 - val_acc: 0.8907\n",
            "Epoch 343/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2781 - acc: 0.9177 - val_loss: 0.2817 - val_acc: 0.8907\n",
            "Epoch 344/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.2830 - acc: 0.9065 - val_loss: 0.2810 - val_acc: 0.8988\n",
            "Epoch 345/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.2856 - acc: 0.9085 - val_loss: 0.2806 - val_acc: 0.8988\n",
            "Epoch 346/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.3010 - acc: 0.8984 - val_loss: 0.2801 - val_acc: 0.8947\n",
            "Epoch 347/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2874 - acc: 0.9116 - val_loss: 0.2781 - val_acc: 0.8947\n",
            "Epoch 348/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.2904 - acc: 0.9014 - val_loss: 0.2764 - val_acc: 0.8907\n",
            "Epoch 349/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2725 - acc: 0.9106 - val_loss: 0.2738 - val_acc: 0.8947\n",
            "Epoch 350/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.2768 - acc: 0.9116 - val_loss: 0.2731 - val_acc: 0.8988\n",
            "Epoch 351/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.3012 - acc: 0.8994 - val_loss: 0.2720 - val_acc: 0.8947\n",
            "Epoch 352/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.2787 - acc: 0.9136 - val_loss: 0.2725 - val_acc: 0.8947\n",
            "Epoch 353/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.2699 - acc: 0.9146 - val_loss: 0.2735 - val_acc: 0.8947\n",
            "Epoch 354/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2687 - acc: 0.9177 - val_loss: 0.2732 - val_acc: 0.8907\n",
            "Epoch 355/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2752 - acc: 0.9085 - val_loss: 0.2733 - val_acc: 0.8947\n",
            "Epoch 356/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2785 - acc: 0.9045 - val_loss: 0.2712 - val_acc: 0.8947\n",
            "Epoch 357/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2731 - acc: 0.9187 - val_loss: 0.2698 - val_acc: 0.8947\n",
            "Epoch 358/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2796 - acc: 0.9177 - val_loss: 0.2700 - val_acc: 0.8947\n",
            "Epoch 359/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2747 - acc: 0.9136 - val_loss: 0.2694 - val_acc: 0.8947\n",
            "Epoch 360/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2551 - acc: 0.9228 - val_loss: 0.2680 - val_acc: 0.8907\n",
            "Epoch 361/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2717 - acc: 0.9106 - val_loss: 0.2684 - val_acc: 0.8907\n",
            "Epoch 362/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.2763 - acc: 0.9065 - val_loss: 0.2694 - val_acc: 0.8988\n",
            "Epoch 363/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.2612 - acc: 0.9177 - val_loss: 0.2696 - val_acc: 0.8988\n",
            "Epoch 364/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.2682 - acc: 0.9085 - val_loss: 0.2696 - val_acc: 0.8988\n",
            "Epoch 365/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2637 - acc: 0.9258 - val_loss: 0.2693 - val_acc: 0.8988\n",
            "Epoch 366/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2747 - acc: 0.9065 - val_loss: 0.2691 - val_acc: 0.8947\n",
            "Epoch 367/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2630 - acc: 0.9228 - val_loss: 0.2662 - val_acc: 0.8988\n",
            "Epoch 368/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.2785 - acc: 0.9116 - val_loss: 0.2643 - val_acc: 0.8947\n",
            "Epoch 369/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.2692 - acc: 0.9055 - val_loss: 0.2624 - val_acc: 0.8988\n",
            "Epoch 370/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2526 - acc: 0.9207 - val_loss: 0.2612 - val_acc: 0.8988\n",
            "Epoch 371/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2653 - acc: 0.9207 - val_loss: 0.2596 - val_acc: 0.9028\n",
            "Epoch 372/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2735 - acc: 0.9106 - val_loss: 0.2591 - val_acc: 0.9028\n",
            "Epoch 373/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2438 - acc: 0.9207 - val_loss: 0.2586 - val_acc: 0.9028\n",
            "Epoch 374/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2336 - acc: 0.9278 - val_loss: 0.2578 - val_acc: 0.8947\n",
            "Epoch 375/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2486 - acc: 0.9187 - val_loss: 0.2570 - val_acc: 0.8988\n",
            "Epoch 376/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.2729 - acc: 0.9197 - val_loss: 0.2570 - val_acc: 0.9028\n",
            "Epoch 377/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2514 - acc: 0.9258 - val_loss: 0.2564 - val_acc: 0.9028\n",
            "Epoch 378/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2526 - acc: 0.9207 - val_loss: 0.2560 - val_acc: 0.9028\n",
            "Epoch 379/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2741 - acc: 0.9146 - val_loss: 0.2562 - val_acc: 0.9028\n",
            "Epoch 380/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2664 - acc: 0.9136 - val_loss: 0.2558 - val_acc: 0.9069\n",
            "Epoch 381/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.2319 - acc: 0.9350 - val_loss: 0.2537 - val_acc: 0.9028\n",
            "Epoch 382/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2656 - acc: 0.9116 - val_loss: 0.2524 - val_acc: 0.9028\n",
            "Epoch 383/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.2425 - acc: 0.9248 - val_loss: 0.2500 - val_acc: 0.9028\n",
            "Epoch 384/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.2607 - acc: 0.9197 - val_loss: 0.2487 - val_acc: 0.8988\n",
            "Epoch 385/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2631 - acc: 0.9167 - val_loss: 0.2486 - val_acc: 0.9028\n",
            "Epoch 386/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2372 - acc: 0.9319 - val_loss: 0.2473 - val_acc: 0.9028\n",
            "Epoch 387/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.2430 - acc: 0.9167 - val_loss: 0.2454 - val_acc: 0.9028\n",
            "Epoch 388/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2584 - acc: 0.9126 - val_loss: 0.2447 - val_acc: 0.9028\n",
            "Epoch 389/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2475 - acc: 0.9228 - val_loss: 0.2454 - val_acc: 0.9028\n",
            "Epoch 390/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2386 - acc: 0.9309 - val_loss: 0.2462 - val_acc: 0.8988\n",
            "Epoch 391/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2328 - acc: 0.9339 - val_loss: 0.2467 - val_acc: 0.9028\n",
            "Epoch 392/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2674 - acc: 0.9096 - val_loss: 0.2466 - val_acc: 0.9069\n",
            "Epoch 393/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2322 - acc: 0.9268 - val_loss: 0.2447 - val_acc: 0.9069\n",
            "Epoch 394/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2179 - acc: 0.9339 - val_loss: 0.2423 - val_acc: 0.9069\n",
            "Epoch 395/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2344 - acc: 0.9106 - val_loss: 0.2402 - val_acc: 0.9069\n",
            "Epoch 396/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2389 - acc: 0.9228 - val_loss: 0.2393 - val_acc: 0.9069\n",
            "Epoch 397/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.2470 - acc: 0.9207 - val_loss: 0.2398 - val_acc: 0.9069\n",
            "Epoch 398/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2495 - acc: 0.9228 - val_loss: 0.2410 - val_acc: 0.9028\n",
            "Epoch 399/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2341 - acc: 0.9258 - val_loss: 0.2415 - val_acc: 0.9028\n",
            "Epoch 400/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2369 - acc: 0.9319 - val_loss: 0.2399 - val_acc: 0.9069\n",
            "Epoch 401/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2266 - acc: 0.9350 - val_loss: 0.2388 - val_acc: 0.9069\n",
            "Epoch 402/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2438 - acc: 0.9238 - val_loss: 0.2384 - val_acc: 0.9028\n",
            "Epoch 403/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.2306 - acc: 0.9309 - val_loss: 0.2374 - val_acc: 0.9028\n",
            "Epoch 404/2000\n",
            "984/984 [==============================] - 0s 68us/step - loss: 0.2259 - acc: 0.9289 - val_loss: 0.2360 - val_acc: 0.9069\n",
            "Epoch 405/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2338 - acc: 0.9268 - val_loss: 0.2350 - val_acc: 0.9069\n",
            "Epoch 406/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.2319 - acc: 0.9339 - val_loss: 0.2344 - val_acc: 0.9069\n",
            "Epoch 407/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2233 - acc: 0.9339 - val_loss: 0.2341 - val_acc: 0.9069\n",
            "Epoch 408/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2298 - acc: 0.9370 - val_loss: 0.2326 - val_acc: 0.9028\n",
            "Epoch 409/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2332 - acc: 0.9248 - val_loss: 0.2330 - val_acc: 0.9028\n",
            "Epoch 410/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2214 - acc: 0.9289 - val_loss: 0.2308 - val_acc: 0.9028\n",
            "Epoch 411/2000\n",
            "984/984 [==============================] - 0s 67us/step - loss: 0.2278 - acc: 0.9339 - val_loss: 0.2294 - val_acc: 0.9028\n",
            "Epoch 412/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2234 - acc: 0.9380 - val_loss: 0.2286 - val_acc: 0.8988\n",
            "Epoch 413/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2324 - acc: 0.9258 - val_loss: 0.2275 - val_acc: 0.8988\n",
            "Epoch 414/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.2278 - acc: 0.9380 - val_loss: 0.2263 - val_acc: 0.9028\n",
            "Epoch 415/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2323 - acc: 0.9207 - val_loss: 0.2262 - val_acc: 0.9028\n",
            "Epoch 416/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2186 - acc: 0.9431 - val_loss: 0.2259 - val_acc: 0.9028\n",
            "Epoch 417/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.2165 - acc: 0.9350 - val_loss: 0.2260 - val_acc: 0.9028\n",
            "Epoch 418/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2289 - acc: 0.9207 - val_loss: 0.2267 - val_acc: 0.8988\n",
            "Epoch 419/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2237 - acc: 0.9360 - val_loss: 0.2268 - val_acc: 0.9069\n",
            "Epoch 420/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2204 - acc: 0.9350 - val_loss: 0.2271 - val_acc: 0.9028\n",
            "Epoch 421/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2169 - acc: 0.9329 - val_loss: 0.2274 - val_acc: 0.9109\n",
            "Epoch 422/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2342 - acc: 0.9268 - val_loss: 0.2275 - val_acc: 0.9150\n",
            "Epoch 423/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2190 - acc: 0.9472 - val_loss: 0.2254 - val_acc: 0.9150\n",
            "Epoch 424/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.2254 - acc: 0.9360 - val_loss: 0.2228 - val_acc: 0.9069\n",
            "Epoch 425/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2260 - acc: 0.9289 - val_loss: 0.2227 - val_acc: 0.9069\n",
            "Epoch 426/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.2245 - acc: 0.9248 - val_loss: 0.2222 - val_acc: 0.9069\n",
            "Epoch 427/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2101 - acc: 0.9370 - val_loss: 0.2202 - val_acc: 0.9028\n",
            "Epoch 428/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2176 - acc: 0.9329 - val_loss: 0.2205 - val_acc: 0.9028\n",
            "Epoch 429/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2176 - acc: 0.9350 - val_loss: 0.2225 - val_acc: 0.9028\n",
            "Epoch 430/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2243 - acc: 0.9380 - val_loss: 0.2221 - val_acc: 0.9028\n",
            "Epoch 431/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.2149 - acc: 0.9319 - val_loss: 0.2209 - val_acc: 0.9069\n",
            "Epoch 432/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2149 - acc: 0.9329 - val_loss: 0.2200 - val_acc: 0.9109\n",
            "Epoch 433/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.2237 - acc: 0.9329 - val_loss: 0.2198 - val_acc: 0.9109\n",
            "Epoch 434/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.2326 - acc: 0.9278 - val_loss: 0.2215 - val_acc: 0.9069\n",
            "Epoch 435/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2141 - acc: 0.9431 - val_loss: 0.2239 - val_acc: 0.9109\n",
            "Epoch 436/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.2185 - acc: 0.9268 - val_loss: 0.2223 - val_acc: 0.9109\n",
            "Epoch 437/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2107 - acc: 0.9441 - val_loss: 0.2199 - val_acc: 0.9231\n",
            "Epoch 438/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.2066 - acc: 0.9472 - val_loss: 0.2175 - val_acc: 0.9190\n",
            "Epoch 439/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2117 - acc: 0.9278 - val_loss: 0.2173 - val_acc: 0.9150\n",
            "Epoch 440/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.2136 - acc: 0.9370 - val_loss: 0.2167 - val_acc: 0.9150\n",
            "Epoch 441/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1994 - acc: 0.9329 - val_loss: 0.2162 - val_acc: 0.9069\n",
            "Epoch 442/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2033 - acc: 0.9461 - val_loss: 0.2171 - val_acc: 0.9150\n",
            "Epoch 443/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.2185 - acc: 0.9238 - val_loss: 0.2165 - val_acc: 0.9109\n",
            "Epoch 444/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2089 - acc: 0.9390 - val_loss: 0.2163 - val_acc: 0.9190\n",
            "Epoch 445/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.2000 - acc: 0.9390 - val_loss: 0.2150 - val_acc: 0.9190\n",
            "Epoch 446/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.2255 - acc: 0.9299 - val_loss: 0.2138 - val_acc: 0.9190\n",
            "Epoch 447/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1930 - acc: 0.9319 - val_loss: 0.2129 - val_acc: 0.9231\n",
            "Epoch 448/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1964 - acc: 0.9390 - val_loss: 0.2131 - val_acc: 0.9150\n",
            "Epoch 449/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1955 - acc: 0.9421 - val_loss: 0.2123 - val_acc: 0.9190\n",
            "Epoch 450/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.2070 - acc: 0.9370 - val_loss: 0.2110 - val_acc: 0.9190\n",
            "Epoch 451/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1859 - acc: 0.9461 - val_loss: 0.2104 - val_acc: 0.9150\n",
            "Epoch 452/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.2117 - acc: 0.9400 - val_loss: 0.2102 - val_acc: 0.9150\n",
            "Epoch 453/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.2057 - acc: 0.9319 - val_loss: 0.2099 - val_acc: 0.9150\n",
            "Epoch 454/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1882 - acc: 0.9482 - val_loss: 0.2105 - val_acc: 0.9231\n",
            "Epoch 455/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1944 - acc: 0.9451 - val_loss: 0.2103 - val_acc: 0.9190\n",
            "Epoch 456/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1998 - acc: 0.9380 - val_loss: 0.2083 - val_acc: 0.9231\n",
            "Epoch 457/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1893 - acc: 0.9380 - val_loss: 0.2061 - val_acc: 0.9231\n",
            "Epoch 458/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1889 - acc: 0.9380 - val_loss: 0.2048 - val_acc: 0.9231\n",
            "Epoch 459/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1911 - acc: 0.9380 - val_loss: 0.2046 - val_acc: 0.9190\n",
            "Epoch 460/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.2073 - acc: 0.9329 - val_loss: 0.2049 - val_acc: 0.9150\n",
            "Epoch 461/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1992 - acc: 0.9339 - val_loss: 0.2036 - val_acc: 0.9231\n",
            "Epoch 462/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1910 - acc: 0.9441 - val_loss: 0.2043 - val_acc: 0.9231\n",
            "Epoch 463/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.2007 - acc: 0.9309 - val_loss: 0.2050 - val_acc: 0.9231\n",
            "Epoch 464/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1856 - acc: 0.9390 - val_loss: 0.2043 - val_acc: 0.9231\n",
            "Epoch 465/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1845 - acc: 0.9472 - val_loss: 0.2039 - val_acc: 0.9231\n",
            "Epoch 466/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1948 - acc: 0.9431 - val_loss: 0.2018 - val_acc: 0.9150\n",
            "Epoch 467/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1834 - acc: 0.9411 - val_loss: 0.2018 - val_acc: 0.9190\n",
            "Epoch 468/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1897 - acc: 0.9461 - val_loss: 0.2032 - val_acc: 0.9231\n",
            "Epoch 469/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1925 - acc: 0.9421 - val_loss: 0.2016 - val_acc: 0.9231\n",
            "Epoch 470/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1850 - acc: 0.9441 - val_loss: 0.1997 - val_acc: 0.9231\n",
            "Epoch 471/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.1731 - acc: 0.9472 - val_loss: 0.1987 - val_acc: 0.9231\n",
            "Epoch 472/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1856 - acc: 0.9431 - val_loss: 0.1987 - val_acc: 0.9231\n",
            "Epoch 473/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1764 - acc: 0.9522 - val_loss: 0.1991 - val_acc: 0.9231\n",
            "Epoch 474/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1908 - acc: 0.9502 - val_loss: 0.1975 - val_acc: 0.9231\n",
            "Epoch 475/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1823 - acc: 0.9421 - val_loss: 0.1961 - val_acc: 0.9271\n",
            "Epoch 476/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1818 - acc: 0.9461 - val_loss: 0.1959 - val_acc: 0.9312\n",
            "Epoch 477/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.1856 - acc: 0.9441 - val_loss: 0.1951 - val_acc: 0.9231\n",
            "Epoch 478/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1860 - acc: 0.9451 - val_loss: 0.1934 - val_acc: 0.9231\n",
            "Epoch 479/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1706 - acc: 0.9573 - val_loss: 0.1921 - val_acc: 0.9271\n",
            "Epoch 480/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1836 - acc: 0.9472 - val_loss: 0.1910 - val_acc: 0.9271\n",
            "Epoch 481/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1862 - acc: 0.9370 - val_loss: 0.1900 - val_acc: 0.9271\n",
            "Epoch 482/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1746 - acc: 0.9461 - val_loss: 0.1897 - val_acc: 0.9271\n",
            "Epoch 483/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2011 - acc: 0.9319 - val_loss: 0.1900 - val_acc: 0.9271\n",
            "Epoch 484/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1915 - acc: 0.9472 - val_loss: 0.1900 - val_acc: 0.9312\n",
            "Epoch 485/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.1787 - acc: 0.9411 - val_loss: 0.1903 - val_acc: 0.9312\n",
            "Epoch 486/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.2011 - acc: 0.9400 - val_loss: 0.1910 - val_acc: 0.9271\n",
            "Epoch 487/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1634 - acc: 0.9461 - val_loss: 0.1884 - val_acc: 0.9271\n",
            "Epoch 488/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1812 - acc: 0.9472 - val_loss: 0.1871 - val_acc: 0.9271\n",
            "Epoch 489/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1731 - acc: 0.9461 - val_loss: 0.1872 - val_acc: 0.9271\n",
            "Epoch 490/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1717 - acc: 0.9441 - val_loss: 0.1861 - val_acc: 0.9271\n",
            "Epoch 491/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1856 - acc: 0.9482 - val_loss: 0.1869 - val_acc: 0.9312\n",
            "Epoch 492/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1755 - acc: 0.9472 - val_loss: 0.1877 - val_acc: 0.9312\n",
            "Epoch 493/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1837 - acc: 0.9390 - val_loss: 0.1870 - val_acc: 0.9312\n",
            "Epoch 494/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1738 - acc: 0.9502 - val_loss: 0.1865 - val_acc: 0.9312\n",
            "Epoch 495/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1632 - acc: 0.9543 - val_loss: 0.1854 - val_acc: 0.9312\n",
            "Epoch 496/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1720 - acc: 0.9482 - val_loss: 0.1846 - val_acc: 0.9312\n",
            "Epoch 497/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1690 - acc: 0.9502 - val_loss: 0.1839 - val_acc: 0.9312\n",
            "Epoch 498/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.1710 - acc: 0.9522 - val_loss: 0.1823 - val_acc: 0.9312\n",
            "Epoch 499/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.1704 - acc: 0.9411 - val_loss: 0.1829 - val_acc: 0.9312\n",
            "Epoch 500/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1640 - acc: 0.9543 - val_loss: 0.1824 - val_acc: 0.9312\n",
            "Epoch 501/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1689 - acc: 0.9512 - val_loss: 0.1811 - val_acc: 0.9271\n",
            "Epoch 502/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1497 - acc: 0.9593 - val_loss: 0.1803 - val_acc: 0.9271\n",
            "Epoch 503/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1656 - acc: 0.9522 - val_loss: 0.1806 - val_acc: 0.9271\n",
            "Epoch 504/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.1798 - acc: 0.9370 - val_loss: 0.1811 - val_acc: 0.9312\n",
            "Epoch 505/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.1732 - acc: 0.9472 - val_loss: 0.1823 - val_acc: 0.9312\n",
            "Epoch 506/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1713 - acc: 0.9461 - val_loss: 0.1820 - val_acc: 0.9312\n",
            "Epoch 507/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1563 - acc: 0.9654 - val_loss: 0.1810 - val_acc: 0.9312\n",
            "Epoch 508/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1512 - acc: 0.9614 - val_loss: 0.1795 - val_acc: 0.9271\n",
            "Epoch 509/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.1680 - acc: 0.9553 - val_loss: 0.1782 - val_acc: 0.9271\n",
            "Epoch 510/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1560 - acc: 0.9604 - val_loss: 0.1776 - val_acc: 0.9271\n",
            "Epoch 511/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1692 - acc: 0.9522 - val_loss: 0.1771 - val_acc: 0.9271\n",
            "Epoch 512/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1708 - acc: 0.9522 - val_loss: 0.1767 - val_acc: 0.9271\n",
            "Epoch 513/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1539 - acc: 0.9583 - val_loss: 0.1768 - val_acc: 0.9271\n",
            "Epoch 514/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1582 - acc: 0.9472 - val_loss: 0.1766 - val_acc: 0.9312\n",
            "Epoch 515/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1772 - acc: 0.9451 - val_loss: 0.1754 - val_acc: 0.9271\n",
            "Epoch 516/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1658 - acc: 0.9472 - val_loss: 0.1744 - val_acc: 0.9271\n",
            "Epoch 517/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1543 - acc: 0.9583 - val_loss: 0.1731 - val_acc: 0.9271\n",
            "Epoch 518/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1665 - acc: 0.9502 - val_loss: 0.1724 - val_acc: 0.9312\n",
            "Epoch 519/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1560 - acc: 0.9563 - val_loss: 0.1720 - val_acc: 0.9312\n",
            "Epoch 520/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.1561 - acc: 0.9533 - val_loss: 0.1729 - val_acc: 0.9271\n",
            "Epoch 521/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1508 - acc: 0.9583 - val_loss: 0.1726 - val_acc: 0.9271\n",
            "Epoch 522/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1721 - acc: 0.9461 - val_loss: 0.1725 - val_acc: 0.9271\n",
            "Epoch 523/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1589 - acc: 0.9441 - val_loss: 0.1731 - val_acc: 0.9271\n",
            "Epoch 524/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1650 - acc: 0.9533 - val_loss: 0.1745 - val_acc: 0.9271\n",
            "Epoch 525/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.1612 - acc: 0.9522 - val_loss: 0.1749 - val_acc: 0.9271\n",
            "Epoch 526/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1629 - acc: 0.9502 - val_loss: 0.1725 - val_acc: 0.9271\n",
            "Epoch 527/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.1510 - acc: 0.9482 - val_loss: 0.1698 - val_acc: 0.9271\n",
            "Epoch 528/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1665 - acc: 0.9502 - val_loss: 0.1694 - val_acc: 0.9312\n",
            "Epoch 529/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1472 - acc: 0.9573 - val_loss: 0.1683 - val_acc: 0.9312\n",
            "Epoch 530/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1597 - acc: 0.9604 - val_loss: 0.1680 - val_acc: 0.9312\n",
            "Epoch 531/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1602 - acc: 0.9563 - val_loss: 0.1682 - val_acc: 0.9312\n",
            "Epoch 532/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1560 - acc: 0.9441 - val_loss: 0.1685 - val_acc: 0.9312\n",
            "Epoch 533/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1522 - acc: 0.9614 - val_loss: 0.1682 - val_acc: 0.9312\n",
            "Epoch 534/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1644 - acc: 0.9482 - val_loss: 0.1687 - val_acc: 0.9271\n",
            "Epoch 535/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1471 - acc: 0.9512 - val_loss: 0.1681 - val_acc: 0.9271\n",
            "Epoch 536/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1558 - acc: 0.9482 - val_loss: 0.1680 - val_acc: 0.9312\n",
            "Epoch 537/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1413 - acc: 0.9614 - val_loss: 0.1660 - val_acc: 0.9312\n",
            "Epoch 538/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1444 - acc: 0.9533 - val_loss: 0.1638 - val_acc: 0.9312\n",
            "Epoch 539/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1581 - acc: 0.9522 - val_loss: 0.1622 - val_acc: 0.9312\n",
            "Epoch 540/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.1432 - acc: 0.9675 - val_loss: 0.1615 - val_acc: 0.9271\n",
            "Epoch 541/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1445 - acc: 0.9553 - val_loss: 0.1631 - val_acc: 0.9271\n",
            "Epoch 542/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1607 - acc: 0.9512 - val_loss: 0.1632 - val_acc: 0.9271\n",
            "Epoch 543/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.1367 - acc: 0.9644 - val_loss: 0.1635 - val_acc: 0.9271\n",
            "Epoch 544/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1403 - acc: 0.9614 - val_loss: 0.1647 - val_acc: 0.9271\n",
            "Epoch 545/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.1452 - acc: 0.9624 - val_loss: 0.1651 - val_acc: 0.9271\n",
            "Epoch 546/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.1506 - acc: 0.9604 - val_loss: 0.1632 - val_acc: 0.9271\n",
            "Epoch 547/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1431 - acc: 0.9553 - val_loss: 0.1605 - val_acc: 0.9271\n",
            "Epoch 548/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1578 - acc: 0.9533 - val_loss: 0.1593 - val_acc: 0.9312\n",
            "Epoch 549/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1452 - acc: 0.9543 - val_loss: 0.1592 - val_acc: 0.9312\n",
            "Epoch 550/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1518 - acc: 0.9502 - val_loss: 0.1608 - val_acc: 0.9271\n",
            "Epoch 551/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1424 - acc: 0.9573 - val_loss: 0.1611 - val_acc: 0.9271\n",
            "Epoch 552/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1402 - acc: 0.9624 - val_loss: 0.1612 - val_acc: 0.9312\n",
            "Epoch 553/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1506 - acc: 0.9593 - val_loss: 0.1612 - val_acc: 0.9271\n",
            "Epoch 554/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1557 - acc: 0.9563 - val_loss: 0.1616 - val_acc: 0.9312\n",
            "Epoch 555/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1560 - acc: 0.9543 - val_loss: 0.1599 - val_acc: 0.9312\n",
            "Epoch 556/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1653 - acc: 0.9390 - val_loss: 0.1578 - val_acc: 0.9312\n",
            "Epoch 557/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1517 - acc: 0.9614 - val_loss: 0.1588 - val_acc: 0.9312\n",
            "Epoch 558/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1382 - acc: 0.9583 - val_loss: 0.1596 - val_acc: 0.9271\n",
            "Epoch 559/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1352 - acc: 0.9654 - val_loss: 0.1603 - val_acc: 0.9271\n",
            "Epoch 560/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1466 - acc: 0.9644 - val_loss: 0.1606 - val_acc: 0.9271\n",
            "Epoch 561/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1335 - acc: 0.9654 - val_loss: 0.1596 - val_acc: 0.9271\n",
            "Epoch 562/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1482 - acc: 0.9543 - val_loss: 0.1579 - val_acc: 0.9312\n",
            "Epoch 563/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1350 - acc: 0.9675 - val_loss: 0.1582 - val_acc: 0.9312\n",
            "Epoch 564/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.1551 - acc: 0.9573 - val_loss: 0.1585 - val_acc: 0.9352\n",
            "Epoch 565/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1428 - acc: 0.9614 - val_loss: 0.1578 - val_acc: 0.9352\n",
            "Epoch 566/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1463 - acc: 0.9573 - val_loss: 0.1579 - val_acc: 0.9352\n",
            "Epoch 567/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1209 - acc: 0.9654 - val_loss: 0.1575 - val_acc: 0.9312\n",
            "Epoch 568/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1418 - acc: 0.9583 - val_loss: 0.1579 - val_acc: 0.9352\n",
            "Epoch 569/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1375 - acc: 0.9543 - val_loss: 0.1577 - val_acc: 0.9352\n",
            "Epoch 570/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.1337 - acc: 0.9675 - val_loss: 0.1567 - val_acc: 0.9352\n",
            "Epoch 571/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1447 - acc: 0.9675 - val_loss: 0.1561 - val_acc: 0.9352\n",
            "Epoch 572/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1452 - acc: 0.9614 - val_loss: 0.1538 - val_acc: 0.9312\n",
            "Epoch 573/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1317 - acc: 0.9593 - val_loss: 0.1536 - val_acc: 0.9352\n",
            "Epoch 574/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1398 - acc: 0.9715 - val_loss: 0.1535 - val_acc: 0.9352\n",
            "Epoch 575/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1337 - acc: 0.9604 - val_loss: 0.1526 - val_acc: 0.9352\n",
            "Epoch 576/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.1324 - acc: 0.9644 - val_loss: 0.1515 - val_acc: 0.9352\n",
            "Epoch 577/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1499 - acc: 0.9543 - val_loss: 0.1521 - val_acc: 0.9352\n",
            "Epoch 578/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1489 - acc: 0.9573 - val_loss: 0.1534 - val_acc: 0.9352\n",
            "Epoch 579/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1361 - acc: 0.9665 - val_loss: 0.1536 - val_acc: 0.9352\n",
            "Epoch 580/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1398 - acc: 0.9553 - val_loss: 0.1528 - val_acc: 0.9312\n",
            "Epoch 581/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1380 - acc: 0.9624 - val_loss: 0.1507 - val_acc: 0.9312\n",
            "Epoch 582/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1383 - acc: 0.9654 - val_loss: 0.1493 - val_acc: 0.9352\n",
            "Epoch 583/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1423 - acc: 0.9533 - val_loss: 0.1503 - val_acc: 0.9312\n",
            "Epoch 584/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1370 - acc: 0.9573 - val_loss: 0.1504 - val_acc: 0.9352\n",
            "Epoch 585/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1426 - acc: 0.9573 - val_loss: 0.1499 - val_acc: 0.9312\n",
            "Epoch 586/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1382 - acc: 0.9644 - val_loss: 0.1470 - val_acc: 0.9393\n",
            "Epoch 587/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1387 - acc: 0.9593 - val_loss: 0.1456 - val_acc: 0.9352\n",
            "Epoch 588/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1247 - acc: 0.9644 - val_loss: 0.1447 - val_acc: 0.9352\n",
            "Epoch 589/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1388 - acc: 0.9654 - val_loss: 0.1455 - val_acc: 0.9352\n",
            "Epoch 590/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1514 - acc: 0.9583 - val_loss: 0.1444 - val_acc: 0.9433\n",
            "Epoch 591/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1211 - acc: 0.9695 - val_loss: 0.1428 - val_acc: 0.9433\n",
            "Epoch 592/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1434 - acc: 0.9593 - val_loss: 0.1437 - val_acc: 0.9474\n",
            "Epoch 593/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1344 - acc: 0.9665 - val_loss: 0.1449 - val_acc: 0.9393\n",
            "Epoch 594/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1263 - acc: 0.9675 - val_loss: 0.1461 - val_acc: 0.9393\n",
            "Epoch 595/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1309 - acc: 0.9614 - val_loss: 0.1441 - val_acc: 0.9352\n",
            "Epoch 596/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1283 - acc: 0.9583 - val_loss: 0.1427 - val_acc: 0.9352\n",
            "Epoch 597/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1308 - acc: 0.9624 - val_loss: 0.1424 - val_acc: 0.9393\n",
            "Epoch 598/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1196 - acc: 0.9665 - val_loss: 0.1422 - val_acc: 0.9393\n",
            "Epoch 599/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1278 - acc: 0.9665 - val_loss: 0.1430 - val_acc: 0.9393\n",
            "Epoch 600/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1293 - acc: 0.9624 - val_loss: 0.1414 - val_acc: 0.9474\n",
            "Epoch 601/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.1346 - acc: 0.9614 - val_loss: 0.1392 - val_acc: 0.9474\n",
            "Epoch 602/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1275 - acc: 0.9614 - val_loss: 0.1380 - val_acc: 0.9474\n",
            "Epoch 603/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1267 - acc: 0.9624 - val_loss: 0.1372 - val_acc: 0.9433\n",
            "Epoch 604/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1320 - acc: 0.9695 - val_loss: 0.1377 - val_acc: 0.9433\n",
            "Epoch 605/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1269 - acc: 0.9593 - val_loss: 0.1380 - val_acc: 0.9393\n",
            "Epoch 606/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1180 - acc: 0.9766 - val_loss: 0.1386 - val_acc: 0.9393\n",
            "Epoch 607/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1314 - acc: 0.9624 - val_loss: 0.1402 - val_acc: 0.9352\n",
            "Epoch 608/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.1135 - acc: 0.9715 - val_loss: 0.1413 - val_acc: 0.9433\n",
            "Epoch 609/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1258 - acc: 0.9624 - val_loss: 0.1411 - val_acc: 0.9474\n",
            "Epoch 610/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1401 - acc: 0.9593 - val_loss: 0.1392 - val_acc: 0.9433\n",
            "Epoch 611/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1175 - acc: 0.9665 - val_loss: 0.1387 - val_acc: 0.9393\n",
            "Epoch 612/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1229 - acc: 0.9675 - val_loss: 0.1405 - val_acc: 0.9474\n",
            "Epoch 613/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1250 - acc: 0.9644 - val_loss: 0.1412 - val_acc: 0.9474\n",
            "Epoch 614/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1171 - acc: 0.9695 - val_loss: 0.1391 - val_acc: 0.9474\n",
            "Epoch 615/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1229 - acc: 0.9614 - val_loss: 0.1381 - val_acc: 0.9474\n",
            "Epoch 616/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1256 - acc: 0.9665 - val_loss: 0.1374 - val_acc: 0.9474\n",
            "Epoch 617/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.1146 - acc: 0.9685 - val_loss: 0.1361 - val_acc: 0.9433\n",
            "Epoch 618/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1177 - acc: 0.9685 - val_loss: 0.1355 - val_acc: 0.9433\n",
            "Epoch 619/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1203 - acc: 0.9685 - val_loss: 0.1368 - val_acc: 0.9474\n",
            "Epoch 620/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.1205 - acc: 0.9715 - val_loss: 0.1364 - val_acc: 0.9474\n",
            "Epoch 621/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.1075 - acc: 0.9705 - val_loss: 0.1361 - val_acc: 0.9474\n",
            "Epoch 622/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1137 - acc: 0.9685 - val_loss: 0.1364 - val_acc: 0.9433\n",
            "Epoch 623/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1083 - acc: 0.9685 - val_loss: 0.1367 - val_acc: 0.9393\n",
            "Epoch 624/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1239 - acc: 0.9644 - val_loss: 0.1360 - val_acc: 0.9393\n",
            "Epoch 625/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1056 - acc: 0.9756 - val_loss: 0.1355 - val_acc: 0.9393\n",
            "Epoch 626/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1153 - acc: 0.9654 - val_loss: 0.1342 - val_acc: 0.9474\n",
            "Epoch 627/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1127 - acc: 0.9705 - val_loss: 0.1348 - val_acc: 0.9514\n",
            "Epoch 628/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1086 - acc: 0.9736 - val_loss: 0.1366 - val_acc: 0.9474\n",
            "Epoch 629/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1086 - acc: 0.9746 - val_loss: 0.1366 - val_acc: 0.9474\n",
            "Epoch 630/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1165 - acc: 0.9685 - val_loss: 0.1345 - val_acc: 0.9474\n",
            "Epoch 631/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1197 - acc: 0.9644 - val_loss: 0.1324 - val_acc: 0.9514\n",
            "Epoch 632/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1252 - acc: 0.9604 - val_loss: 0.1335 - val_acc: 0.9514\n",
            "Epoch 633/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1099 - acc: 0.9746 - val_loss: 0.1327 - val_acc: 0.9474\n",
            "Epoch 634/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1249 - acc: 0.9665 - val_loss: 0.1320 - val_acc: 0.9393\n",
            "Epoch 635/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1130 - acc: 0.9675 - val_loss: 0.1312 - val_acc: 0.9393\n",
            "Epoch 636/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1255 - acc: 0.9573 - val_loss: 0.1305 - val_acc: 0.9352\n",
            "Epoch 637/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1083 - acc: 0.9705 - val_loss: 0.1300 - val_acc: 0.9393\n",
            "Epoch 638/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1047 - acc: 0.9766 - val_loss: 0.1295 - val_acc: 0.9433\n",
            "Epoch 639/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1186 - acc: 0.9736 - val_loss: 0.1292 - val_acc: 0.9433\n",
            "Epoch 640/2000\n",
            "984/984 [==============================] - 0s 69us/step - loss: 0.1005 - acc: 0.9797 - val_loss: 0.1296 - val_acc: 0.9474\n",
            "Epoch 641/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1146 - acc: 0.9756 - val_loss: 0.1291 - val_acc: 0.9514\n",
            "Epoch 642/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1185 - acc: 0.9573 - val_loss: 0.1291 - val_acc: 0.9514\n",
            "Epoch 643/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1178 - acc: 0.9665 - val_loss: 0.1303 - val_acc: 0.9474\n",
            "Epoch 644/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1133 - acc: 0.9675 - val_loss: 0.1314 - val_acc: 0.9393\n",
            "Epoch 645/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1054 - acc: 0.9726 - val_loss: 0.1329 - val_acc: 0.9393\n",
            "Epoch 646/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1139 - acc: 0.9624 - val_loss: 0.1324 - val_acc: 0.9474\n",
            "Epoch 647/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1251 - acc: 0.9604 - val_loss: 0.1311 - val_acc: 0.9474\n",
            "Epoch 648/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1111 - acc: 0.9695 - val_loss: 0.1282 - val_acc: 0.9474\n",
            "Epoch 649/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0953 - acc: 0.9807 - val_loss: 0.1287 - val_acc: 0.9555\n",
            "Epoch 650/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1203 - acc: 0.9665 - val_loss: 0.1290 - val_acc: 0.9474\n",
            "Epoch 651/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1081 - acc: 0.9685 - val_loss: 0.1293 - val_acc: 0.9514\n",
            "Epoch 652/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0962 - acc: 0.9787 - val_loss: 0.1297 - val_acc: 0.9514\n",
            "Epoch 653/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1168 - acc: 0.9654 - val_loss: 0.1293 - val_acc: 0.9595\n",
            "Epoch 654/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1048 - acc: 0.9675 - val_loss: 0.1259 - val_acc: 0.9595\n",
            "Epoch 655/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0928 - acc: 0.9705 - val_loss: 0.1242 - val_acc: 0.9595\n",
            "Epoch 656/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.1094 - acc: 0.9715 - val_loss: 0.1237 - val_acc: 0.9595\n",
            "Epoch 657/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1153 - acc: 0.9736 - val_loss: 0.1242 - val_acc: 0.9555\n",
            "Epoch 658/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1132 - acc: 0.9675 - val_loss: 0.1252 - val_acc: 0.9595\n",
            "Epoch 659/2000\n",
            "984/984 [==============================] - 0s 66us/step - loss: 0.1008 - acc: 0.9705 - val_loss: 0.1267 - val_acc: 0.9393\n",
            "Epoch 660/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1142 - acc: 0.9644 - val_loss: 0.1262 - val_acc: 0.9393\n",
            "Epoch 661/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0933 - acc: 0.9787 - val_loss: 0.1246 - val_acc: 0.9514\n",
            "Epoch 662/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1142 - acc: 0.9624 - val_loss: 0.1238 - val_acc: 0.9555\n",
            "Epoch 663/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.1036 - acc: 0.9726 - val_loss: 0.1243 - val_acc: 0.9555\n",
            "Epoch 664/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1100 - acc: 0.9726 - val_loss: 0.1245 - val_acc: 0.9433\n",
            "Epoch 665/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.1105 - acc: 0.9685 - val_loss: 0.1249 - val_acc: 0.9433\n",
            "Epoch 666/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1015 - acc: 0.9695 - val_loss: 0.1237 - val_acc: 0.9474\n",
            "Epoch 667/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.1206 - acc: 0.9593 - val_loss: 0.1225 - val_acc: 0.9595\n",
            "Epoch 668/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1114 - acc: 0.9695 - val_loss: 0.1230 - val_acc: 0.9514\n",
            "Epoch 669/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1000 - acc: 0.9766 - val_loss: 0.1225 - val_acc: 0.9514\n",
            "Epoch 670/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.1217 - acc: 0.9644 - val_loss: 0.1218 - val_acc: 0.9514\n",
            "Epoch 671/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1052 - acc: 0.9705 - val_loss: 0.1211 - val_acc: 0.9555\n",
            "Epoch 672/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1065 - acc: 0.9685 - val_loss: 0.1219 - val_acc: 0.9555\n",
            "Epoch 673/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0992 - acc: 0.9797 - val_loss: 0.1225 - val_acc: 0.9433\n",
            "Epoch 674/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1066 - acc: 0.9695 - val_loss: 0.1232 - val_acc: 0.9474\n",
            "Epoch 675/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0938 - acc: 0.9817 - val_loss: 0.1237 - val_acc: 0.9555\n",
            "Epoch 676/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1088 - acc: 0.9634 - val_loss: 0.1232 - val_acc: 0.9514\n",
            "Epoch 677/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1060 - acc: 0.9715 - val_loss: 0.1221 - val_acc: 0.9514\n",
            "Epoch 678/2000\n",
            "984/984 [==============================] - 0s 63us/step - loss: 0.1131 - acc: 0.9624 - val_loss: 0.1220 - val_acc: 0.9555\n",
            "Epoch 679/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1135 - acc: 0.9756 - val_loss: 0.1228 - val_acc: 0.9514\n",
            "Epoch 680/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1011 - acc: 0.9726 - val_loss: 0.1227 - val_acc: 0.9514\n",
            "Epoch 681/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0903 - acc: 0.9787 - val_loss: 0.1208 - val_acc: 0.9555\n",
            "Epoch 682/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0906 - acc: 0.9776 - val_loss: 0.1173 - val_acc: 0.9555\n",
            "Epoch 683/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1029 - acc: 0.9705 - val_loss: 0.1161 - val_acc: 0.9595\n",
            "Epoch 684/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0942 - acc: 0.9807 - val_loss: 0.1168 - val_acc: 0.9595\n",
            "Epoch 685/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.1128 - acc: 0.9654 - val_loss: 0.1178 - val_acc: 0.9595\n",
            "Epoch 686/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1020 - acc: 0.9715 - val_loss: 0.1168 - val_acc: 0.9595\n",
            "Epoch 687/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0983 - acc: 0.9715 - val_loss: 0.1167 - val_acc: 0.9595\n",
            "Epoch 688/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0884 - acc: 0.9868 - val_loss: 0.1165 - val_acc: 0.9595\n",
            "Epoch 689/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.1006 - acc: 0.9705 - val_loss: 0.1168 - val_acc: 0.9595\n",
            "Epoch 690/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0988 - acc: 0.9756 - val_loss: 0.1153 - val_acc: 0.9595\n",
            "Epoch 691/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.1135 - acc: 0.9634 - val_loss: 0.1136 - val_acc: 0.9636\n",
            "Epoch 692/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0942 - acc: 0.9746 - val_loss: 0.1133 - val_acc: 0.9636\n",
            "Epoch 693/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0806 - acc: 0.9837 - val_loss: 0.1132 - val_acc: 0.9595\n",
            "Epoch 694/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0995 - acc: 0.9736 - val_loss: 0.1146 - val_acc: 0.9555\n",
            "Epoch 695/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0887 - acc: 0.9746 - val_loss: 0.1151 - val_acc: 0.9595\n",
            "Epoch 696/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0930 - acc: 0.9797 - val_loss: 0.1141 - val_acc: 0.9595\n",
            "Epoch 697/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0981 - acc: 0.9726 - val_loss: 0.1146 - val_acc: 0.9555\n",
            "Epoch 698/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.0974 - acc: 0.9766 - val_loss: 0.1149 - val_acc: 0.9555\n",
            "Epoch 699/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0944 - acc: 0.9746 - val_loss: 0.1135 - val_acc: 0.9636\n",
            "Epoch 700/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0939 - acc: 0.9807 - val_loss: 0.1144 - val_acc: 0.9595\n",
            "Epoch 701/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0997 - acc: 0.9746 - val_loss: 0.1144 - val_acc: 0.9595\n",
            "Epoch 702/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.1011 - acc: 0.9705 - val_loss: 0.1164 - val_acc: 0.9636\n",
            "Epoch 703/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1072 - acc: 0.9736 - val_loss: 0.1160 - val_acc: 0.9636\n",
            "Epoch 704/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0975 - acc: 0.9746 - val_loss: 0.1145 - val_acc: 0.9636\n",
            "Epoch 705/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0986 - acc: 0.9726 - val_loss: 0.1136 - val_acc: 0.9636\n",
            "Epoch 706/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0946 - acc: 0.9726 - val_loss: 0.1138 - val_acc: 0.9636\n",
            "Epoch 707/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0976 - acc: 0.9736 - val_loss: 0.1149 - val_acc: 0.9636\n",
            "Epoch 708/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0921 - acc: 0.9726 - val_loss: 0.1142 - val_acc: 0.9636\n",
            "Epoch 709/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0939 - acc: 0.9736 - val_loss: 0.1143 - val_acc: 0.9555\n",
            "Epoch 710/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0893 - acc: 0.9817 - val_loss: 0.1148 - val_acc: 0.9555\n",
            "Epoch 711/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.1017 - acc: 0.9654 - val_loss: 0.1146 - val_acc: 0.9636\n",
            "Epoch 712/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0831 - acc: 0.9817 - val_loss: 0.1129 - val_acc: 0.9636\n",
            "Epoch 713/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0907 - acc: 0.9817 - val_loss: 0.1115 - val_acc: 0.9676\n",
            "Epoch 714/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0986 - acc: 0.9726 - val_loss: 0.1134 - val_acc: 0.9676\n",
            "Epoch 715/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.0941 - acc: 0.9726 - val_loss: 0.1130 - val_acc: 0.9676\n",
            "Epoch 716/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0957 - acc: 0.9715 - val_loss: 0.1125 - val_acc: 0.9676\n",
            "Epoch 717/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0947 - acc: 0.9746 - val_loss: 0.1132 - val_acc: 0.9636\n",
            "Epoch 718/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.1090 - acc: 0.9736 - val_loss: 0.1123 - val_acc: 0.9636\n",
            "Epoch 719/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0823 - acc: 0.9817 - val_loss: 0.1126 - val_acc: 0.9636\n",
            "Epoch 720/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0919 - acc: 0.9756 - val_loss: 0.1124 - val_acc: 0.9595\n",
            "Epoch 721/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0801 - acc: 0.9766 - val_loss: 0.1123 - val_acc: 0.9555\n",
            "Epoch 722/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0930 - acc: 0.9736 - val_loss: 0.1100 - val_acc: 0.9555\n",
            "Epoch 723/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0923 - acc: 0.9705 - val_loss: 0.1086 - val_acc: 0.9555\n",
            "Epoch 724/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0791 - acc: 0.9817 - val_loss: 0.1090 - val_acc: 0.9595\n",
            "Epoch 725/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0913 - acc: 0.9776 - val_loss: 0.1101 - val_acc: 0.9595\n",
            "Epoch 726/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0927 - acc: 0.9746 - val_loss: 0.1089 - val_acc: 0.9636\n",
            "Epoch 727/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0831 - acc: 0.9776 - val_loss: 0.1074 - val_acc: 0.9636\n",
            "Epoch 728/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0944 - acc: 0.9756 - val_loss: 0.1091 - val_acc: 0.9595\n",
            "Epoch 729/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0926 - acc: 0.9746 - val_loss: 0.1113 - val_acc: 0.9595\n",
            "Epoch 730/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0832 - acc: 0.9766 - val_loss: 0.1115 - val_acc: 0.9676\n",
            "Epoch 731/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.1027 - acc: 0.9736 - val_loss: 0.1113 - val_acc: 0.9595\n",
            "Epoch 732/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0936 - acc: 0.9654 - val_loss: 0.1097 - val_acc: 0.9555\n",
            "Epoch 733/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0929 - acc: 0.9746 - val_loss: 0.1084 - val_acc: 0.9555\n",
            "Epoch 734/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0796 - acc: 0.9787 - val_loss: 0.1083 - val_acc: 0.9636\n",
            "Epoch 735/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0920 - acc: 0.9766 - val_loss: 0.1071 - val_acc: 0.9636\n",
            "Epoch 736/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0900 - acc: 0.9776 - val_loss: 0.1072 - val_acc: 0.9636\n",
            "Epoch 737/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0929 - acc: 0.9715 - val_loss: 0.1066 - val_acc: 0.9636\n",
            "Epoch 738/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0916 - acc: 0.9736 - val_loss: 0.1078 - val_acc: 0.9636\n",
            "Epoch 739/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0856 - acc: 0.9736 - val_loss: 0.1075 - val_acc: 0.9636\n",
            "Epoch 740/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0900 - acc: 0.9776 - val_loss: 0.1089 - val_acc: 0.9595\n",
            "Epoch 741/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.1024 - acc: 0.9685 - val_loss: 0.1076 - val_acc: 0.9636\n",
            "Epoch 742/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0904 - acc: 0.9746 - val_loss: 0.1061 - val_acc: 0.9676\n",
            "Epoch 743/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0830 - acc: 0.9817 - val_loss: 0.1055 - val_acc: 0.9676\n",
            "Epoch 744/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0815 - acc: 0.9827 - val_loss: 0.1043 - val_acc: 0.9676\n",
            "Epoch 745/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0816 - acc: 0.9726 - val_loss: 0.1032 - val_acc: 0.9676\n",
            "Epoch 746/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0790 - acc: 0.9787 - val_loss: 0.1034 - val_acc: 0.9676\n",
            "Epoch 747/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0898 - acc: 0.9766 - val_loss: 0.1040 - val_acc: 0.9636\n",
            "Epoch 748/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0863 - acc: 0.9685 - val_loss: 0.1060 - val_acc: 0.9636\n",
            "Epoch 749/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0821 - acc: 0.9746 - val_loss: 0.1068 - val_acc: 0.9636\n",
            "Epoch 750/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0936 - acc: 0.9776 - val_loss: 0.1075 - val_acc: 0.9636\n",
            "Epoch 751/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0759 - acc: 0.9817 - val_loss: 0.1083 - val_acc: 0.9676\n",
            "Epoch 752/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0982 - acc: 0.9726 - val_loss: 0.1068 - val_acc: 0.9676\n",
            "Epoch 753/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0821 - acc: 0.9776 - val_loss: 0.1068 - val_acc: 0.9717\n",
            "Epoch 754/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0715 - acc: 0.9858 - val_loss: 0.1058 - val_acc: 0.9717\n",
            "Epoch 755/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0918 - acc: 0.9726 - val_loss: 0.1060 - val_acc: 0.9676\n",
            "Epoch 756/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0809 - acc: 0.9787 - val_loss: 0.1052 - val_acc: 0.9636\n",
            "Epoch 757/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0797 - acc: 0.9787 - val_loss: 0.1039 - val_acc: 0.9595\n",
            "Epoch 758/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0828 - acc: 0.9827 - val_loss: 0.1038 - val_acc: 0.9595\n",
            "Epoch 759/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0819 - acc: 0.9726 - val_loss: 0.1042 - val_acc: 0.9636\n",
            "Epoch 760/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0747 - acc: 0.9827 - val_loss: 0.1043 - val_acc: 0.9636\n",
            "Epoch 761/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0785 - acc: 0.9807 - val_loss: 0.1036 - val_acc: 0.9636\n",
            "Epoch 762/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0752 - acc: 0.9837 - val_loss: 0.1048 - val_acc: 0.9676\n",
            "Epoch 763/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0730 - acc: 0.9827 - val_loss: 0.1043 - val_acc: 0.9717\n",
            "Epoch 764/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0779 - acc: 0.9776 - val_loss: 0.1043 - val_acc: 0.9717\n",
            "Epoch 765/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0736 - acc: 0.9817 - val_loss: 0.1041 - val_acc: 0.9676\n",
            "Epoch 766/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0691 - acc: 0.9878 - val_loss: 0.1027 - val_acc: 0.9717\n",
            "Epoch 767/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0759 - acc: 0.9746 - val_loss: 0.1010 - val_acc: 0.9717\n",
            "Epoch 768/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0764 - acc: 0.9797 - val_loss: 0.0999 - val_acc: 0.9717\n",
            "Epoch 769/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0843 - acc: 0.9726 - val_loss: 0.0995 - val_acc: 0.9676\n",
            "Epoch 770/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0828 - acc: 0.9736 - val_loss: 0.0985 - val_acc: 0.9676\n",
            "Epoch 771/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0890 - acc: 0.9736 - val_loss: 0.0998 - val_acc: 0.9676\n",
            "Epoch 772/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0709 - acc: 0.9837 - val_loss: 0.1009 - val_acc: 0.9636\n",
            "Epoch 773/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0831 - acc: 0.9766 - val_loss: 0.1009 - val_acc: 0.9636\n",
            "Epoch 774/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0683 - acc: 0.9858 - val_loss: 0.1015 - val_acc: 0.9636\n",
            "Epoch 775/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0760 - acc: 0.9787 - val_loss: 0.1010 - val_acc: 0.9636\n",
            "Epoch 776/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0817 - acc: 0.9776 - val_loss: 0.0998 - val_acc: 0.9636\n",
            "Epoch 777/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0826 - acc: 0.9746 - val_loss: 0.0988 - val_acc: 0.9676\n",
            "Epoch 778/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0799 - acc: 0.9817 - val_loss: 0.0975 - val_acc: 0.9676\n",
            "Epoch 779/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0670 - acc: 0.9848 - val_loss: 0.0952 - val_acc: 0.9676\n",
            "Epoch 780/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0847 - acc: 0.9787 - val_loss: 0.0958 - val_acc: 0.9676\n",
            "Epoch 781/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0839 - acc: 0.9766 - val_loss: 0.0984 - val_acc: 0.9717\n",
            "Epoch 782/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0716 - acc: 0.9837 - val_loss: 0.1012 - val_acc: 0.9717\n",
            "Epoch 783/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0776 - acc: 0.9756 - val_loss: 0.1012 - val_acc: 0.9717\n",
            "Epoch 784/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0663 - acc: 0.9817 - val_loss: 0.1010 - val_acc: 0.9717\n",
            "Epoch 785/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0727 - acc: 0.9858 - val_loss: 0.1008 - val_acc: 0.9717\n",
            "Epoch 786/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0793 - acc: 0.9787 - val_loss: 0.1004 - val_acc: 0.9676\n",
            "Epoch 787/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0736 - acc: 0.9797 - val_loss: 0.0982 - val_acc: 0.9676\n",
            "Epoch 788/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0780 - acc: 0.9776 - val_loss: 0.0961 - val_acc: 0.9717\n",
            "Epoch 789/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0790 - acc: 0.9736 - val_loss: 0.0948 - val_acc: 0.9717\n",
            "Epoch 790/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0844 - acc: 0.9776 - val_loss: 0.0923 - val_acc: 0.9717\n",
            "Epoch 791/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0805 - acc: 0.9756 - val_loss: 0.0922 - val_acc: 0.9717\n",
            "Epoch 792/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0811 - acc: 0.9827 - val_loss: 0.0944 - val_acc: 0.9717\n",
            "Epoch 793/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0688 - acc: 0.9848 - val_loss: 0.0958 - val_acc: 0.9717\n",
            "Epoch 794/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0733 - acc: 0.9817 - val_loss: 0.0963 - val_acc: 0.9676\n",
            "Epoch 795/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0648 - acc: 0.9868 - val_loss: 0.0955 - val_acc: 0.9676\n",
            "Epoch 796/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0703 - acc: 0.9787 - val_loss: 0.0934 - val_acc: 0.9676\n",
            "Epoch 797/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0792 - acc: 0.9756 - val_loss: 0.0916 - val_acc: 0.9717\n",
            "Epoch 798/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0811 - acc: 0.9827 - val_loss: 0.0917 - val_acc: 0.9717\n",
            "Epoch 799/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0770 - acc: 0.9746 - val_loss: 0.0922 - val_acc: 0.9717\n",
            "Epoch 800/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0754 - acc: 0.9807 - val_loss: 0.0918 - val_acc: 0.9717\n",
            "Epoch 801/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0697 - acc: 0.9837 - val_loss: 0.0937 - val_acc: 0.9717\n",
            "Epoch 802/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0759 - acc: 0.9848 - val_loss: 0.0956 - val_acc: 0.9717\n",
            "Epoch 803/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0653 - acc: 0.9827 - val_loss: 0.0956 - val_acc: 0.9676\n",
            "Epoch 804/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0749 - acc: 0.9776 - val_loss: 0.0943 - val_acc: 0.9676\n",
            "Epoch 805/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0723 - acc: 0.9817 - val_loss: 0.0933 - val_acc: 0.9676\n",
            "Epoch 806/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0811 - acc: 0.9776 - val_loss: 0.0923 - val_acc: 0.9717\n",
            "Epoch 807/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0774 - acc: 0.9797 - val_loss: 0.0926 - val_acc: 0.9717\n",
            "Epoch 808/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0725 - acc: 0.9807 - val_loss: 0.0929 - val_acc: 0.9717\n",
            "Epoch 809/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0675 - acc: 0.9827 - val_loss: 0.0925 - val_acc: 0.9676\n",
            "Epoch 810/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0621 - acc: 0.9837 - val_loss: 0.0906 - val_acc: 0.9676\n",
            "Epoch 811/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0713 - acc: 0.9848 - val_loss: 0.0907 - val_acc: 0.9717\n",
            "Epoch 812/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0714 - acc: 0.9787 - val_loss: 0.0907 - val_acc: 0.9717\n",
            "Epoch 813/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0608 - acc: 0.9837 - val_loss: 0.0906 - val_acc: 0.9717\n",
            "Epoch 814/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0721 - acc: 0.9807 - val_loss: 0.0904 - val_acc: 0.9676\n",
            "Epoch 815/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0730 - acc: 0.9756 - val_loss: 0.0918 - val_acc: 0.9676\n",
            "Epoch 816/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0704 - acc: 0.9787 - val_loss: 0.0926 - val_acc: 0.9676\n",
            "Epoch 817/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0684 - acc: 0.9848 - val_loss: 0.0923 - val_acc: 0.9676\n",
            "Epoch 818/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0628 - acc: 0.9858 - val_loss: 0.0930 - val_acc: 0.9717\n",
            "Epoch 819/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0680 - acc: 0.9817 - val_loss: 0.0946 - val_acc: 0.9676\n",
            "Epoch 820/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0708 - acc: 0.9827 - val_loss: 0.0943 - val_acc: 0.9717\n",
            "Epoch 821/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0679 - acc: 0.9878 - val_loss: 0.0931 - val_acc: 0.9717\n",
            "Epoch 822/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0732 - acc: 0.9817 - val_loss: 0.0920 - val_acc: 0.9717\n",
            "Epoch 823/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0669 - acc: 0.9837 - val_loss: 0.0894 - val_acc: 0.9717\n",
            "Epoch 824/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0681 - acc: 0.9817 - val_loss: 0.0889 - val_acc: 0.9757\n",
            "Epoch 825/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0570 - acc: 0.9878 - val_loss: 0.0904 - val_acc: 0.9717\n",
            "Epoch 826/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0686 - acc: 0.9807 - val_loss: 0.0926 - val_acc: 0.9717\n",
            "Epoch 827/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0644 - acc: 0.9848 - val_loss: 0.0945 - val_acc: 0.9676\n",
            "Epoch 828/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0758 - acc: 0.9787 - val_loss: 0.0961 - val_acc: 0.9676\n",
            "Epoch 829/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0585 - acc: 0.9817 - val_loss: 0.0954 - val_acc: 0.9676\n",
            "Epoch 830/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0613 - acc: 0.9858 - val_loss: 0.0932 - val_acc: 0.9676\n",
            "Epoch 831/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0677 - acc: 0.9797 - val_loss: 0.0902 - val_acc: 0.9676\n",
            "Epoch 832/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0790 - acc: 0.9736 - val_loss: 0.0886 - val_acc: 0.9636\n",
            "Epoch 833/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0632 - acc: 0.9848 - val_loss: 0.0882 - val_acc: 0.9636\n",
            "Epoch 834/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0618 - acc: 0.9848 - val_loss: 0.0868 - val_acc: 0.9636\n",
            "Epoch 835/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0627 - acc: 0.9878 - val_loss: 0.0868 - val_acc: 0.9717\n",
            "Epoch 836/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0652 - acc: 0.9837 - val_loss: 0.0898 - val_acc: 0.9717\n",
            "Epoch 837/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0681 - acc: 0.9837 - val_loss: 0.0912 - val_acc: 0.9717\n",
            "Epoch 838/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0641 - acc: 0.9848 - val_loss: 0.0908 - val_acc: 0.9717\n",
            "Epoch 839/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0618 - acc: 0.9868 - val_loss: 0.0877 - val_acc: 0.9717\n",
            "Epoch 840/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0639 - acc: 0.9787 - val_loss: 0.0849 - val_acc: 0.9717\n",
            "Epoch 841/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0647 - acc: 0.9827 - val_loss: 0.0840 - val_acc: 0.9757\n",
            "Epoch 842/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0675 - acc: 0.9797 - val_loss: 0.0844 - val_acc: 0.9717\n",
            "Epoch 843/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0690 - acc: 0.9807 - val_loss: 0.0860 - val_acc: 0.9717\n",
            "Epoch 844/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0579 - acc: 0.9848 - val_loss: 0.0884 - val_acc: 0.9717\n",
            "Epoch 845/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0621 - acc: 0.9807 - val_loss: 0.0893 - val_acc: 0.9676\n",
            "Epoch 846/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0592 - acc: 0.9878 - val_loss: 0.0889 - val_acc: 0.9676\n",
            "Epoch 847/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0750 - acc: 0.9776 - val_loss: 0.0867 - val_acc: 0.9676\n",
            "Epoch 848/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0658 - acc: 0.9797 - val_loss: 0.0847 - val_acc: 0.9676\n",
            "Epoch 849/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0667 - acc: 0.9807 - val_loss: 0.0841 - val_acc: 0.9676\n",
            "Epoch 850/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0642 - acc: 0.9848 - val_loss: 0.0852 - val_acc: 0.9676\n",
            "Epoch 851/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0644 - acc: 0.9817 - val_loss: 0.0845 - val_acc: 0.9676\n",
            "Epoch 852/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0630 - acc: 0.9858 - val_loss: 0.0835 - val_acc: 0.9717\n",
            "Epoch 853/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0753 - acc: 0.9776 - val_loss: 0.0838 - val_acc: 0.9717\n",
            "Epoch 854/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0746 - acc: 0.9817 - val_loss: 0.0840 - val_acc: 0.9717\n",
            "Epoch 855/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0642 - acc: 0.9807 - val_loss: 0.0832 - val_acc: 0.9717\n",
            "Epoch 856/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0657 - acc: 0.9878 - val_loss: 0.0818 - val_acc: 0.9757\n",
            "Epoch 857/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0576 - acc: 0.9888 - val_loss: 0.0836 - val_acc: 0.9757\n",
            "Epoch 858/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0628 - acc: 0.9827 - val_loss: 0.0852 - val_acc: 0.9757\n",
            "Epoch 859/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0607 - acc: 0.9868 - val_loss: 0.0869 - val_acc: 0.9717\n",
            "Epoch 860/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0648 - acc: 0.9807 - val_loss: 0.0859 - val_acc: 0.9717\n",
            "Epoch 861/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0708 - acc: 0.9797 - val_loss: 0.0859 - val_acc: 0.9717\n",
            "Epoch 862/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0584 - acc: 0.9868 - val_loss: 0.0860 - val_acc: 0.9717\n",
            "Epoch 863/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0597 - acc: 0.9898 - val_loss: 0.0863 - val_acc: 0.9717\n",
            "Epoch 864/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0659 - acc: 0.9827 - val_loss: 0.0858 - val_acc: 0.9757\n",
            "Epoch 865/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0549 - acc: 0.9848 - val_loss: 0.0869 - val_acc: 0.9717\n",
            "Epoch 866/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0554 - acc: 0.9898 - val_loss: 0.0878 - val_acc: 0.9717\n",
            "Epoch 867/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0652 - acc: 0.9766 - val_loss: 0.0885 - val_acc: 0.9676\n",
            "Epoch 868/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0647 - acc: 0.9807 - val_loss: 0.0877 - val_acc: 0.9676\n",
            "Epoch 869/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0621 - acc: 0.9858 - val_loss: 0.0857 - val_acc: 0.9717\n",
            "Epoch 870/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0713 - acc: 0.9756 - val_loss: 0.0832 - val_acc: 0.9757\n",
            "Epoch 871/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0623 - acc: 0.9848 - val_loss: 0.0811 - val_acc: 0.9757\n",
            "Epoch 872/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0551 - acc: 0.9909 - val_loss: 0.0811 - val_acc: 0.9757\n",
            "Epoch 873/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0639 - acc: 0.9858 - val_loss: 0.0828 - val_acc: 0.9757\n",
            "Epoch 874/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0670 - acc: 0.9776 - val_loss: 0.0834 - val_acc: 0.9757\n",
            "Epoch 875/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0706 - acc: 0.9787 - val_loss: 0.0831 - val_acc: 0.9757\n",
            "Epoch 876/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0593 - acc: 0.9827 - val_loss: 0.0830 - val_acc: 0.9757\n",
            "Epoch 877/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0566 - acc: 0.9868 - val_loss: 0.0842 - val_acc: 0.9717\n",
            "Epoch 878/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0632 - acc: 0.9868 - val_loss: 0.0842 - val_acc: 0.9757\n",
            "Epoch 879/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0602 - acc: 0.9807 - val_loss: 0.0845 - val_acc: 0.9757\n",
            "Epoch 880/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0580 - acc: 0.9858 - val_loss: 0.0850 - val_acc: 0.9757\n",
            "Epoch 881/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0530 - acc: 0.9898 - val_loss: 0.0844 - val_acc: 0.9757\n",
            "Epoch 882/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0740 - acc: 0.9817 - val_loss: 0.0839 - val_acc: 0.9757\n",
            "Epoch 883/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0519 - acc: 0.9868 - val_loss: 0.0840 - val_acc: 0.9717\n",
            "Epoch 884/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0610 - acc: 0.9848 - val_loss: 0.0850 - val_acc: 0.9717\n",
            "Epoch 885/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0595 - acc: 0.9858 - val_loss: 0.0847 - val_acc: 0.9717\n",
            "Epoch 886/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0672 - acc: 0.9807 - val_loss: 0.0852 - val_acc: 0.9717\n",
            "Epoch 887/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0472 - acc: 0.9888 - val_loss: 0.0854 - val_acc: 0.9717\n",
            "Epoch 888/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0628 - acc: 0.9817 - val_loss: 0.0843 - val_acc: 0.9717\n",
            "Epoch 889/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0612 - acc: 0.9848 - val_loss: 0.0816 - val_acc: 0.9717\n",
            "Epoch 890/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0550 - acc: 0.9888 - val_loss: 0.0802 - val_acc: 0.9717\n",
            "Epoch 891/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0607 - acc: 0.9837 - val_loss: 0.0816 - val_acc: 0.9676\n",
            "Epoch 892/2000\n",
            "984/984 [==============================] - 0s 66us/step - loss: 0.0569 - acc: 0.9868 - val_loss: 0.0834 - val_acc: 0.9676\n",
            "Epoch 893/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0570 - acc: 0.9848 - val_loss: 0.0842 - val_acc: 0.9676\n",
            "Epoch 894/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0616 - acc: 0.9827 - val_loss: 0.0839 - val_acc: 0.9676\n",
            "Epoch 895/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0639 - acc: 0.9827 - val_loss: 0.0816 - val_acc: 0.9676\n",
            "Epoch 896/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0550 - acc: 0.9868 - val_loss: 0.0803 - val_acc: 0.9717\n",
            "Epoch 897/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0709 - acc: 0.9807 - val_loss: 0.0799 - val_acc: 0.9717\n",
            "Epoch 898/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0523 - acc: 0.9929 - val_loss: 0.0793 - val_acc: 0.9757\n",
            "Epoch 899/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0497 - acc: 0.9929 - val_loss: 0.0795 - val_acc: 0.9757\n",
            "Epoch 900/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0618 - acc: 0.9807 - val_loss: 0.0805 - val_acc: 0.9717\n",
            "Epoch 901/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0486 - acc: 0.9878 - val_loss: 0.0825 - val_acc: 0.9717\n",
            "Epoch 902/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0488 - acc: 0.9868 - val_loss: 0.0847 - val_acc: 0.9676\n",
            "Epoch 903/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0512 - acc: 0.9878 - val_loss: 0.0826 - val_acc: 0.9676\n",
            "Epoch 904/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0492 - acc: 0.9888 - val_loss: 0.0804 - val_acc: 0.9757\n",
            "Epoch 905/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0611 - acc: 0.9807 - val_loss: 0.0804 - val_acc: 0.9757\n",
            "Epoch 906/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0658 - acc: 0.9827 - val_loss: 0.0811 - val_acc: 0.9757\n",
            "Epoch 907/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0470 - acc: 0.9898 - val_loss: 0.0814 - val_acc: 0.9717\n",
            "Epoch 908/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0641 - acc: 0.9807 - val_loss: 0.0806 - val_acc: 0.9717\n",
            "Epoch 909/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0620 - acc: 0.9848 - val_loss: 0.0810 - val_acc: 0.9717\n",
            "Epoch 910/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0594 - acc: 0.9837 - val_loss: 0.0807 - val_acc: 0.9717\n",
            "Epoch 911/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0578 - acc: 0.9827 - val_loss: 0.0806 - val_acc: 0.9717\n",
            "Epoch 912/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.0622 - acc: 0.9817 - val_loss: 0.0817 - val_acc: 0.9717\n",
            "Epoch 913/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0640 - acc: 0.9817 - val_loss: 0.0801 - val_acc: 0.9757\n",
            "Epoch 914/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0732 - acc: 0.9817 - val_loss: 0.0791 - val_acc: 0.9757\n",
            "Epoch 915/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0544 - acc: 0.9878 - val_loss: 0.0784 - val_acc: 0.9757\n",
            "Epoch 916/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0573 - acc: 0.9837 - val_loss: 0.0786 - val_acc: 0.9717\n",
            "Epoch 917/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0524 - acc: 0.9878 - val_loss: 0.0781 - val_acc: 0.9757\n",
            "Epoch 918/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0531 - acc: 0.9858 - val_loss: 0.0796 - val_acc: 0.9717\n",
            "Epoch 919/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0442 - acc: 0.9939 - val_loss: 0.0803 - val_acc: 0.9717\n",
            "Epoch 920/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0513 - acc: 0.9858 - val_loss: 0.0799 - val_acc: 0.9717\n",
            "Epoch 921/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0554 - acc: 0.9888 - val_loss: 0.0801 - val_acc: 0.9717\n",
            "Epoch 922/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0557 - acc: 0.9868 - val_loss: 0.0788 - val_acc: 0.9757\n",
            "Epoch 923/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0532 - acc: 0.9837 - val_loss: 0.0773 - val_acc: 0.9757\n",
            "Epoch 924/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0547 - acc: 0.9807 - val_loss: 0.0769 - val_acc: 0.9757\n",
            "Epoch 925/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0583 - acc: 0.9848 - val_loss: 0.0772 - val_acc: 0.9757\n",
            "Epoch 926/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0548 - acc: 0.9888 - val_loss: 0.0769 - val_acc: 0.9757\n",
            "Epoch 927/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0472 - acc: 0.9909 - val_loss: 0.0755 - val_acc: 0.9717\n",
            "Epoch 928/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0482 - acc: 0.9868 - val_loss: 0.0746 - val_acc: 0.9757\n",
            "Epoch 929/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0579 - acc: 0.9848 - val_loss: 0.0739 - val_acc: 0.9757\n",
            "Epoch 930/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0601 - acc: 0.9797 - val_loss: 0.0730 - val_acc: 0.9798\n",
            "Epoch 931/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.0432 - acc: 0.9909 - val_loss: 0.0728 - val_acc: 0.9798\n",
            "Epoch 932/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0491 - acc: 0.9919 - val_loss: 0.0722 - val_acc: 0.9798\n",
            "Epoch 933/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0546 - acc: 0.9878 - val_loss: 0.0725 - val_acc: 0.9798\n",
            "Epoch 934/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0532 - acc: 0.9868 - val_loss: 0.0732 - val_acc: 0.9798\n",
            "Epoch 935/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0613 - acc: 0.9817 - val_loss: 0.0745 - val_acc: 0.9757\n",
            "Epoch 936/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0558 - acc: 0.9848 - val_loss: 0.0747 - val_acc: 0.9757\n",
            "Epoch 937/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0570 - acc: 0.9848 - val_loss: 0.0745 - val_acc: 0.9757\n",
            "Epoch 938/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0486 - acc: 0.9939 - val_loss: 0.0759 - val_acc: 0.9717\n",
            "Epoch 939/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.0480 - acc: 0.9898 - val_loss: 0.0760 - val_acc: 0.9717\n",
            "Epoch 940/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0525 - acc: 0.9858 - val_loss: 0.0743 - val_acc: 0.9757\n",
            "Epoch 941/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0479 - acc: 0.9837 - val_loss: 0.0745 - val_acc: 0.9757\n",
            "Epoch 942/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0482 - acc: 0.9898 - val_loss: 0.0769 - val_acc: 0.9757\n",
            "Epoch 943/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0528 - acc: 0.9878 - val_loss: 0.0778 - val_acc: 0.9757\n",
            "Epoch 944/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0466 - acc: 0.9858 - val_loss: 0.0822 - val_acc: 0.9717\n",
            "Epoch 945/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0545 - acc: 0.9858 - val_loss: 0.0803 - val_acc: 0.9717\n",
            "Epoch 946/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0505 - acc: 0.9878 - val_loss: 0.0789 - val_acc: 0.9757\n",
            "Epoch 947/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0459 - acc: 0.9909 - val_loss: 0.0766 - val_acc: 0.9757\n",
            "Epoch 948/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0446 - acc: 0.9888 - val_loss: 0.0754 - val_acc: 0.9757\n",
            "Epoch 949/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0502 - acc: 0.9868 - val_loss: 0.0749 - val_acc: 0.9757\n",
            "Epoch 950/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0548 - acc: 0.9817 - val_loss: 0.0751 - val_acc: 0.9757\n",
            "Epoch 951/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0524 - acc: 0.9868 - val_loss: 0.0742 - val_acc: 0.9798\n",
            "Epoch 952/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0520 - acc: 0.9888 - val_loss: 0.0719 - val_acc: 0.9798\n",
            "Epoch 953/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0512 - acc: 0.9858 - val_loss: 0.0703 - val_acc: 0.9798\n",
            "Epoch 954/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0418 - acc: 0.9888 - val_loss: 0.0700 - val_acc: 0.9798\n",
            "Epoch 955/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0558 - acc: 0.9888 - val_loss: 0.0730 - val_acc: 0.9798\n",
            "Epoch 956/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0500 - acc: 0.9878 - val_loss: 0.0762 - val_acc: 0.9757\n",
            "Epoch 957/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0589 - acc: 0.9878 - val_loss: 0.0773 - val_acc: 0.9717\n",
            "Epoch 958/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0511 - acc: 0.9858 - val_loss: 0.0780 - val_acc: 0.9757\n",
            "Epoch 959/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0547 - acc: 0.9858 - val_loss: 0.0774 - val_acc: 0.9757\n",
            "Epoch 960/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0423 - acc: 0.9888 - val_loss: 0.0755 - val_acc: 0.9757\n",
            "Epoch 961/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0388 - acc: 0.9878 - val_loss: 0.0728 - val_acc: 0.9798\n",
            "Epoch 962/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0514 - acc: 0.9878 - val_loss: 0.0728 - val_acc: 0.9798\n",
            "Epoch 963/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0504 - acc: 0.9868 - val_loss: 0.0741 - val_acc: 0.9757\n",
            "Epoch 964/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0501 - acc: 0.9827 - val_loss: 0.0734 - val_acc: 0.9798\n",
            "Epoch 965/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0548 - acc: 0.9858 - val_loss: 0.0721 - val_acc: 0.9757\n",
            "Epoch 966/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0401 - acc: 0.9919 - val_loss: 0.0716 - val_acc: 0.9757\n",
            "Epoch 967/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0502 - acc: 0.9898 - val_loss: 0.0714 - val_acc: 0.9798\n",
            "Epoch 968/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0453 - acc: 0.9858 - val_loss: 0.0731 - val_acc: 0.9757\n",
            "Epoch 969/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0529 - acc: 0.9807 - val_loss: 0.0748 - val_acc: 0.9757\n",
            "Epoch 970/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0501 - acc: 0.9868 - val_loss: 0.0738 - val_acc: 0.9757\n",
            "Epoch 971/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0543 - acc: 0.9848 - val_loss: 0.0741 - val_acc: 0.9717\n",
            "Epoch 972/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0599 - acc: 0.9807 - val_loss: 0.0723 - val_acc: 0.9717\n",
            "Epoch 973/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0437 - acc: 0.9848 - val_loss: 0.0727 - val_acc: 0.9717\n",
            "Epoch 974/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0517 - acc: 0.9858 - val_loss: 0.0725 - val_acc: 0.9717\n",
            "Epoch 975/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0336 - acc: 0.9980 - val_loss: 0.0715 - val_acc: 0.9717\n",
            "Epoch 976/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0500 - acc: 0.9858 - val_loss: 0.0708 - val_acc: 0.9757\n",
            "Epoch 977/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0461 - acc: 0.9858 - val_loss: 0.0712 - val_acc: 0.9757\n",
            "Epoch 978/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0489 - acc: 0.9817 - val_loss: 0.0748 - val_acc: 0.9757\n",
            "Epoch 979/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0444 - acc: 0.9878 - val_loss: 0.0749 - val_acc: 0.9757\n",
            "Epoch 980/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0384 - acc: 0.9888 - val_loss: 0.0741 - val_acc: 0.9757\n",
            "Epoch 981/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0486 - acc: 0.9888 - val_loss: 0.0723 - val_acc: 0.9798\n",
            "Epoch 982/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0446 - acc: 0.9888 - val_loss: 0.0707 - val_acc: 0.9798\n",
            "Epoch 983/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0462 - acc: 0.9837 - val_loss: 0.0691 - val_acc: 0.9798\n",
            "Epoch 984/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0430 - acc: 0.9929 - val_loss: 0.0700 - val_acc: 0.9798\n",
            "Epoch 985/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0438 - acc: 0.9878 - val_loss: 0.0704 - val_acc: 0.9757\n",
            "Epoch 986/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0445 - acc: 0.9858 - val_loss: 0.0710 - val_acc: 0.9757\n",
            "Epoch 987/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0395 - acc: 0.9939 - val_loss: 0.0719 - val_acc: 0.9717\n",
            "Epoch 988/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0441 - acc: 0.9909 - val_loss: 0.0736 - val_acc: 0.9717\n",
            "Epoch 989/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0465 - acc: 0.9898 - val_loss: 0.0747 - val_acc: 0.9717\n",
            "Epoch 990/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0461 - acc: 0.9848 - val_loss: 0.0738 - val_acc: 0.9757\n",
            "Epoch 991/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0431 - acc: 0.9888 - val_loss: 0.0737 - val_acc: 0.9757\n",
            "Epoch 992/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0469 - acc: 0.9888 - val_loss: 0.0768 - val_acc: 0.9757\n",
            "Epoch 993/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0490 - acc: 0.9878 - val_loss: 0.0777 - val_acc: 0.9757\n",
            "Epoch 994/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0425 - acc: 0.9888 - val_loss: 0.0777 - val_acc: 0.9717\n",
            "Epoch 995/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0459 - acc: 0.9858 - val_loss: 0.0731 - val_acc: 0.9757\n",
            "Epoch 996/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0385 - acc: 0.9919 - val_loss: 0.0700 - val_acc: 0.9757\n",
            "Epoch 997/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0485 - acc: 0.9878 - val_loss: 0.0680 - val_acc: 0.9757\n",
            "Epoch 998/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0510 - acc: 0.9858 - val_loss: 0.0692 - val_acc: 0.9757\n",
            "Epoch 999/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0464 - acc: 0.9898 - val_loss: 0.0699 - val_acc: 0.9757\n",
            "Epoch 1000/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0444 - acc: 0.9909 - val_loss: 0.0701 - val_acc: 0.9757\n",
            "Epoch 1001/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0373 - acc: 0.9929 - val_loss: 0.0710 - val_acc: 0.9757\n",
            "Epoch 1002/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0420 - acc: 0.9898 - val_loss: 0.0715 - val_acc: 0.9757\n",
            "Epoch 1003/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0505 - acc: 0.9868 - val_loss: 0.0695 - val_acc: 0.9757\n",
            "Epoch 1004/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0363 - acc: 0.9909 - val_loss: 0.0677 - val_acc: 0.9757\n",
            "Epoch 1005/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0434 - acc: 0.9898 - val_loss: 0.0663 - val_acc: 0.9757\n",
            "Epoch 1006/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0409 - acc: 0.9868 - val_loss: 0.0653 - val_acc: 0.9757\n",
            "Epoch 1007/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0404 - acc: 0.9878 - val_loss: 0.0683 - val_acc: 0.9757\n",
            "Epoch 1008/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.0406 - acc: 0.9898 - val_loss: 0.0703 - val_acc: 0.9757\n",
            "Epoch 1009/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0365 - acc: 0.9909 - val_loss: 0.0710 - val_acc: 0.9717\n",
            "Epoch 1010/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0386 - acc: 0.9909 - val_loss: 0.0697 - val_acc: 0.9757\n",
            "Epoch 1011/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0435 - acc: 0.9888 - val_loss: 0.0697 - val_acc: 0.9757\n",
            "Epoch 1012/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0395 - acc: 0.9929 - val_loss: 0.0696 - val_acc: 0.9757\n",
            "Epoch 1013/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0487 - acc: 0.9868 - val_loss: 0.0668 - val_acc: 0.9757\n",
            "Epoch 1014/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0524 - acc: 0.9807 - val_loss: 0.0657 - val_acc: 0.9757\n",
            "Epoch 1015/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0391 - acc: 0.9959 - val_loss: 0.0657 - val_acc: 0.9757\n",
            "Epoch 1016/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0397 - acc: 0.9888 - val_loss: 0.0630 - val_acc: 0.9798\n",
            "Epoch 1017/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0404 - acc: 0.9878 - val_loss: 0.0607 - val_acc: 0.9798\n",
            "Epoch 1018/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0486 - acc: 0.9848 - val_loss: 0.0603 - val_acc: 0.9798\n",
            "Epoch 1019/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0417 - acc: 0.9888 - val_loss: 0.0608 - val_acc: 0.9798\n",
            "Epoch 1020/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0407 - acc: 0.9909 - val_loss: 0.0629 - val_acc: 0.9798\n",
            "Epoch 1021/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0395 - acc: 0.9929 - val_loss: 0.0645 - val_acc: 0.9798\n",
            "Epoch 1022/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0369 - acc: 0.9898 - val_loss: 0.0630 - val_acc: 0.9757\n",
            "Epoch 1023/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0450 - acc: 0.9898 - val_loss: 0.0610 - val_acc: 0.9757\n",
            "Epoch 1024/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0440 - acc: 0.9878 - val_loss: 0.0623 - val_acc: 0.9757\n",
            "Epoch 1025/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0431 - acc: 0.9858 - val_loss: 0.0644 - val_acc: 0.9757\n",
            "Epoch 1026/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0412 - acc: 0.9858 - val_loss: 0.0634 - val_acc: 0.9757\n",
            "Epoch 1027/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0463 - acc: 0.9848 - val_loss: 0.0629 - val_acc: 0.9757\n",
            "Epoch 1028/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0376 - acc: 0.9919 - val_loss: 0.0629 - val_acc: 0.9798\n",
            "Epoch 1029/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0456 - acc: 0.9898 - val_loss: 0.0648 - val_acc: 0.9798\n",
            "Epoch 1030/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0463 - acc: 0.9837 - val_loss: 0.0638 - val_acc: 0.9798\n",
            "Epoch 1031/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0381 - acc: 0.9909 - val_loss: 0.0639 - val_acc: 0.9798\n",
            "Epoch 1032/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0403 - acc: 0.9929 - val_loss: 0.0630 - val_acc: 0.9798\n",
            "Epoch 1033/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0370 - acc: 0.9929 - val_loss: 0.0644 - val_acc: 0.9798\n",
            "Epoch 1034/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0381 - acc: 0.9949 - val_loss: 0.0646 - val_acc: 0.9798\n",
            "Epoch 1035/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0405 - acc: 0.9919 - val_loss: 0.0646 - val_acc: 0.9798\n",
            "Epoch 1036/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0446 - acc: 0.9858 - val_loss: 0.0662 - val_acc: 0.9798\n",
            "Epoch 1037/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0411 - acc: 0.9888 - val_loss: 0.0672 - val_acc: 0.9798\n",
            "Epoch 1038/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0458 - acc: 0.9878 - val_loss: 0.0656 - val_acc: 0.9757\n",
            "Epoch 1039/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0447 - acc: 0.9888 - val_loss: 0.0652 - val_acc: 0.9798\n",
            "Epoch 1040/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0395 - acc: 0.9898 - val_loss: 0.0640 - val_acc: 0.9798\n",
            "Epoch 1041/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0372 - acc: 0.9929 - val_loss: 0.0640 - val_acc: 0.9798\n",
            "Epoch 1042/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0447 - acc: 0.9868 - val_loss: 0.0633 - val_acc: 0.9798\n",
            "Epoch 1043/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0316 - acc: 0.9959 - val_loss: 0.0617 - val_acc: 0.9798\n",
            "Epoch 1044/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0394 - acc: 0.9929 - val_loss: 0.0613 - val_acc: 0.9798\n",
            "Epoch 1045/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0376 - acc: 0.9878 - val_loss: 0.0595 - val_acc: 0.9798\n",
            "Epoch 1046/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0452 - acc: 0.9888 - val_loss: 0.0596 - val_acc: 0.9838\n",
            "Epoch 1047/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0333 - acc: 0.9919 - val_loss: 0.0606 - val_acc: 0.9798\n",
            "Epoch 1048/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0424 - acc: 0.9878 - val_loss: 0.0596 - val_acc: 0.9798\n",
            "Epoch 1049/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0380 - acc: 0.9888 - val_loss: 0.0599 - val_acc: 0.9798\n",
            "Epoch 1050/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0441 - acc: 0.9888 - val_loss: 0.0598 - val_acc: 0.9798\n",
            "Epoch 1051/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0340 - acc: 0.9949 - val_loss: 0.0598 - val_acc: 0.9798\n",
            "Epoch 1052/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0316 - acc: 0.9959 - val_loss: 0.0598 - val_acc: 0.9798\n",
            "Epoch 1053/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0411 - acc: 0.9898 - val_loss: 0.0616 - val_acc: 0.9798\n",
            "Epoch 1054/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0409 - acc: 0.9909 - val_loss: 0.0610 - val_acc: 0.9798\n",
            "Epoch 1055/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0367 - acc: 0.9939 - val_loss: 0.0631 - val_acc: 0.9757\n",
            "Epoch 1056/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0354 - acc: 0.9939 - val_loss: 0.0642 - val_acc: 0.9757\n",
            "Epoch 1057/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0387 - acc: 0.9898 - val_loss: 0.0646 - val_acc: 0.9717\n",
            "Epoch 1058/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0355 - acc: 0.9909 - val_loss: 0.0636 - val_acc: 0.9757\n",
            "Epoch 1059/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0297 - acc: 0.9929 - val_loss: 0.0623 - val_acc: 0.9757\n",
            "Epoch 1060/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0337 - acc: 0.9898 - val_loss: 0.0602 - val_acc: 0.9757\n",
            "Epoch 1061/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0330 - acc: 0.9949 - val_loss: 0.0577 - val_acc: 0.9798\n",
            "Epoch 1062/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0352 - acc: 0.9919 - val_loss: 0.0581 - val_acc: 0.9798\n",
            "Epoch 1063/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0467 - acc: 0.9878 - val_loss: 0.0607 - val_acc: 0.9757\n",
            "Epoch 1064/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0332 - acc: 0.9919 - val_loss: 0.0614 - val_acc: 0.9757\n",
            "Epoch 1065/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0398 - acc: 0.9868 - val_loss: 0.0607 - val_acc: 0.9757\n",
            "Epoch 1066/2000\n",
            "984/984 [==============================] - 0s 74us/step - loss: 0.0386 - acc: 0.9919 - val_loss: 0.0603 - val_acc: 0.9757\n",
            "Epoch 1067/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0432 - acc: 0.9909 - val_loss: 0.0596 - val_acc: 0.9798\n",
            "Epoch 1068/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0474 - acc: 0.9888 - val_loss: 0.0597 - val_acc: 0.9757\n",
            "Epoch 1069/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0377 - acc: 0.9878 - val_loss: 0.0598 - val_acc: 0.9798\n",
            "Epoch 1070/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0442 - acc: 0.9878 - val_loss: 0.0614 - val_acc: 0.9798\n",
            "Epoch 1071/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0371 - acc: 0.9929 - val_loss: 0.0621 - val_acc: 0.9798\n",
            "Epoch 1072/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0403 - acc: 0.9929 - val_loss: 0.0606 - val_acc: 0.9798\n",
            "Epoch 1073/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0374 - acc: 0.9929 - val_loss: 0.0581 - val_acc: 0.9798\n",
            "Epoch 1074/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0404 - acc: 0.9898 - val_loss: 0.0564 - val_acc: 0.9838\n",
            "Epoch 1075/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0412 - acc: 0.9888 - val_loss: 0.0554 - val_acc: 0.9838\n",
            "Epoch 1076/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0399 - acc: 0.9919 - val_loss: 0.0576 - val_acc: 0.9798\n",
            "Epoch 1077/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0303 - acc: 0.9959 - val_loss: 0.0597 - val_acc: 0.9798\n",
            "Epoch 1078/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0356 - acc: 0.9909 - val_loss: 0.0599 - val_acc: 0.9798\n",
            "Epoch 1079/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0470 - acc: 0.9888 - val_loss: 0.0598 - val_acc: 0.9798\n",
            "Epoch 1080/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0370 - acc: 0.9959 - val_loss: 0.0612 - val_acc: 0.9798\n",
            "Epoch 1081/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0355 - acc: 0.9929 - val_loss: 0.0630 - val_acc: 0.9798\n",
            "Epoch 1082/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0298 - acc: 0.9959 - val_loss: 0.0637 - val_acc: 0.9798\n",
            "Epoch 1083/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0368 - acc: 0.9909 - val_loss: 0.0631 - val_acc: 0.9798\n",
            "Epoch 1084/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0475 - acc: 0.9898 - val_loss: 0.0605 - val_acc: 0.9798\n",
            "Epoch 1085/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0313 - acc: 0.9929 - val_loss: 0.0598 - val_acc: 0.9798\n",
            "Epoch 1086/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0453 - acc: 0.9878 - val_loss: 0.0587 - val_acc: 0.9798\n",
            "Epoch 1087/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0352 - acc: 0.9919 - val_loss: 0.0587 - val_acc: 0.9798\n",
            "Epoch 1088/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0345 - acc: 0.9919 - val_loss: 0.0589 - val_acc: 0.9798\n",
            "Epoch 1089/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0379 - acc: 0.9919 - val_loss: 0.0599 - val_acc: 0.9798\n",
            "Epoch 1090/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0315 - acc: 0.9949 - val_loss: 0.0607 - val_acc: 0.9757\n",
            "Epoch 1091/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0330 - acc: 0.9898 - val_loss: 0.0584 - val_acc: 0.9798\n",
            "Epoch 1092/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0408 - acc: 0.9909 - val_loss: 0.0559 - val_acc: 0.9798\n",
            "Epoch 1093/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0385 - acc: 0.9898 - val_loss: 0.0582 - val_acc: 0.9798\n",
            "Epoch 1094/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0367 - acc: 0.9919 - val_loss: 0.0612 - val_acc: 0.9798\n",
            "Epoch 1095/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0426 - acc: 0.9878 - val_loss: 0.0652 - val_acc: 0.9757\n",
            "Epoch 1096/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0370 - acc: 0.9878 - val_loss: 0.0648 - val_acc: 0.9798\n",
            "Epoch 1097/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0342 - acc: 0.9909 - val_loss: 0.0621 - val_acc: 0.9798\n",
            "Epoch 1098/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0430 - acc: 0.9898 - val_loss: 0.0618 - val_acc: 0.9798\n",
            "Epoch 1099/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0314 - acc: 0.9909 - val_loss: 0.0621 - val_acc: 0.9798\n",
            "Epoch 1100/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0296 - acc: 0.9959 - val_loss: 0.0619 - val_acc: 0.9798\n",
            "Epoch 1101/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0405 - acc: 0.9919 - val_loss: 0.0614 - val_acc: 0.9798\n",
            "Epoch 1102/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0402 - acc: 0.9929 - val_loss: 0.0612 - val_acc: 0.9798\n",
            "Epoch 1103/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0318 - acc: 0.9959 - val_loss: 0.0609 - val_acc: 0.9798\n",
            "Epoch 1104/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0408 - acc: 0.9898 - val_loss: 0.0615 - val_acc: 0.9798\n",
            "Epoch 1105/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0346 - acc: 0.9929 - val_loss: 0.0616 - val_acc: 0.9798\n",
            "Epoch 1106/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0361 - acc: 0.9919 - val_loss: 0.0631 - val_acc: 0.9798\n",
            "Epoch 1107/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0401 - acc: 0.9888 - val_loss: 0.0616 - val_acc: 0.9798\n",
            "Epoch 1108/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0378 - acc: 0.9898 - val_loss: 0.0604 - val_acc: 0.9798\n",
            "Epoch 1109/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0361 - acc: 0.9909 - val_loss: 0.0599 - val_acc: 0.9798\n",
            "Epoch 1110/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0311 - acc: 0.9939 - val_loss: 0.0606 - val_acc: 0.9798\n",
            "Epoch 1111/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0369 - acc: 0.9898 - val_loss: 0.0606 - val_acc: 0.9798\n",
            "Epoch 1112/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0361 - acc: 0.9929 - val_loss: 0.0604 - val_acc: 0.9798\n",
            "Epoch 1113/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0263 - acc: 0.9959 - val_loss: 0.0596 - val_acc: 0.9798\n",
            "Epoch 1114/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0320 - acc: 0.9929 - val_loss: 0.0587 - val_acc: 0.9757\n",
            "Epoch 1115/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0332 - acc: 0.9939 - val_loss: 0.0587 - val_acc: 0.9757\n",
            "Epoch 1116/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0380 - acc: 0.9888 - val_loss: 0.0585 - val_acc: 0.9757\n",
            "Epoch 1117/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0275 - acc: 0.9949 - val_loss: 0.0583 - val_acc: 0.9798\n",
            "Epoch 1118/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0403 - acc: 0.9909 - val_loss: 0.0569 - val_acc: 0.9798\n",
            "Epoch 1119/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0343 - acc: 0.9919 - val_loss: 0.0587 - val_acc: 0.9798\n",
            "Epoch 1120/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0277 - acc: 0.9939 - val_loss: 0.0600 - val_acc: 0.9798\n",
            "Epoch 1121/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0290 - acc: 0.9939 - val_loss: 0.0600 - val_acc: 0.9798\n",
            "Epoch 1122/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0308 - acc: 0.9929 - val_loss: 0.0594 - val_acc: 0.9798\n",
            "Epoch 1123/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0320 - acc: 0.9929 - val_loss: 0.0589 - val_acc: 0.9798\n",
            "Epoch 1124/2000\n",
            "984/984 [==============================] - 0s 75us/step - loss: 0.0326 - acc: 0.9919 - val_loss: 0.0567 - val_acc: 0.9798\n",
            "Epoch 1125/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0314 - acc: 0.9919 - val_loss: 0.0567 - val_acc: 0.9798\n",
            "Epoch 1126/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0327 - acc: 0.9929 - val_loss: 0.0575 - val_acc: 0.9798\n",
            "Epoch 1127/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0330 - acc: 0.9909 - val_loss: 0.0586 - val_acc: 0.9757\n",
            "Epoch 1128/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0370 - acc: 0.9898 - val_loss: 0.0598 - val_acc: 0.9757\n",
            "Epoch 1129/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0389 - acc: 0.9888 - val_loss: 0.0600 - val_acc: 0.9757\n",
            "Epoch 1130/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0340 - acc: 0.9898 - val_loss: 0.0623 - val_acc: 0.9757\n",
            "Epoch 1131/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0311 - acc: 0.9949 - val_loss: 0.0613 - val_acc: 0.9798\n",
            "Epoch 1132/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0405 - acc: 0.9878 - val_loss: 0.0583 - val_acc: 0.9798\n",
            "Epoch 1133/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0286 - acc: 0.9939 - val_loss: 0.0549 - val_acc: 0.9798\n",
            "Epoch 1134/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0411 - acc: 0.9909 - val_loss: 0.0552 - val_acc: 0.9798\n",
            "Epoch 1135/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0301 - acc: 0.9939 - val_loss: 0.0552 - val_acc: 0.9798\n",
            "Epoch 1136/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0348 - acc: 0.9929 - val_loss: 0.0559 - val_acc: 0.9798\n",
            "Epoch 1137/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0318 - acc: 0.9929 - val_loss: 0.0569 - val_acc: 0.9798\n",
            "Epoch 1138/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0304 - acc: 0.9909 - val_loss: 0.0578 - val_acc: 0.9798\n",
            "Epoch 1139/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0310 - acc: 0.9949 - val_loss: 0.0581 - val_acc: 0.9798\n",
            "Epoch 1140/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0314 - acc: 0.9909 - val_loss: 0.0588 - val_acc: 0.9757\n",
            "Epoch 1141/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0336 - acc: 0.9888 - val_loss: 0.0578 - val_acc: 0.9798\n",
            "Epoch 1142/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0365 - acc: 0.9888 - val_loss: 0.0568 - val_acc: 0.9798\n",
            "Epoch 1143/2000\n",
            "984/984 [==============================] - 0s 66us/step - loss: 0.0259 - acc: 0.9949 - val_loss: 0.0573 - val_acc: 0.9798\n",
            "Epoch 1144/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0306 - acc: 0.9959 - val_loss: 0.0583 - val_acc: 0.9798\n",
            "Epoch 1145/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0283 - acc: 0.9970 - val_loss: 0.0593 - val_acc: 0.9798\n",
            "Epoch 1146/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0225 - acc: 1.0000 - val_loss: 0.0591 - val_acc: 0.9798\n",
            "Epoch 1147/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0318 - acc: 0.9939 - val_loss: 0.0583 - val_acc: 0.9798\n",
            "Epoch 1148/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0289 - acc: 0.9949 - val_loss: 0.0583 - val_acc: 0.9798\n",
            "Epoch 1149/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0259 - acc: 0.9959 - val_loss: 0.0586 - val_acc: 0.9798\n",
            "Epoch 1150/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0342 - acc: 0.9888 - val_loss: 0.0579 - val_acc: 0.9798\n",
            "Epoch 1151/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0299 - acc: 0.9949 - val_loss: 0.0578 - val_acc: 0.9798\n",
            "Epoch 1152/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0321 - acc: 0.9929 - val_loss: 0.0588 - val_acc: 0.9798\n",
            "Epoch 1153/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0286 - acc: 0.9959 - val_loss: 0.0583 - val_acc: 0.9798\n",
            "Epoch 1154/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0320 - acc: 0.9959 - val_loss: 0.0575 - val_acc: 0.9798\n",
            "Epoch 1155/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0441 - acc: 0.9888 - val_loss: 0.0555 - val_acc: 0.9798\n",
            "Epoch 1156/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0326 - acc: 0.9909 - val_loss: 0.0529 - val_acc: 0.9798\n",
            "Epoch 1157/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0388 - acc: 0.9868 - val_loss: 0.0504 - val_acc: 0.9798\n",
            "Epoch 1158/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0332 - acc: 0.9919 - val_loss: 0.0494 - val_acc: 0.9798\n",
            "Epoch 1159/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0394 - acc: 0.9898 - val_loss: 0.0514 - val_acc: 0.9798\n",
            "Epoch 1160/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0322 - acc: 0.9919 - val_loss: 0.0540 - val_acc: 0.9798\n",
            "Epoch 1161/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0348 - acc: 0.9919 - val_loss: 0.0543 - val_acc: 0.9798\n",
            "Epoch 1162/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0320 - acc: 0.9939 - val_loss: 0.0555 - val_acc: 0.9798\n",
            "Epoch 1163/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0247 - acc: 0.9959 - val_loss: 0.0549 - val_acc: 0.9798\n",
            "Epoch 1164/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0290 - acc: 0.9929 - val_loss: 0.0568 - val_acc: 0.9798\n",
            "Epoch 1165/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0414 - acc: 0.9868 - val_loss: 0.0549 - val_acc: 0.9798\n",
            "Epoch 1166/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0320 - acc: 0.9929 - val_loss: 0.0547 - val_acc: 0.9798\n",
            "Epoch 1167/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0230 - acc: 0.9949 - val_loss: 0.0557 - val_acc: 0.9798\n",
            "Epoch 1168/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0307 - acc: 0.9939 - val_loss: 0.0567 - val_acc: 0.9798\n",
            "Epoch 1169/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0381 - acc: 0.9929 - val_loss: 0.0578 - val_acc: 0.9798\n",
            "Epoch 1170/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0284 - acc: 0.9959 - val_loss: 0.0595 - val_acc: 0.9798\n",
            "Epoch 1171/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0306 - acc: 0.9949 - val_loss: 0.0605 - val_acc: 0.9757\n",
            "Epoch 1172/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0330 - acc: 0.9939 - val_loss: 0.0601 - val_acc: 0.9798\n",
            "Epoch 1173/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0311 - acc: 0.9939 - val_loss: 0.0583 - val_acc: 0.9798\n",
            "Epoch 1174/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.0278 - acc: 0.9959 - val_loss: 0.0552 - val_acc: 0.9798\n",
            "Epoch 1175/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0318 - acc: 0.9949 - val_loss: 0.0537 - val_acc: 0.9798\n",
            "Epoch 1176/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0297 - acc: 0.9909 - val_loss: 0.0541 - val_acc: 0.9798\n",
            "Epoch 1177/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0273 - acc: 0.9909 - val_loss: 0.0547 - val_acc: 0.9798\n",
            "Epoch 1178/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0395 - acc: 0.9888 - val_loss: 0.0562 - val_acc: 0.9798\n",
            "Epoch 1179/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0270 - acc: 0.9949 - val_loss: 0.0574 - val_acc: 0.9798\n",
            "Epoch 1180/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0247 - acc: 0.9939 - val_loss: 0.0568 - val_acc: 0.9798\n",
            "Epoch 1181/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0312 - acc: 0.9909 - val_loss: 0.0572 - val_acc: 0.9798\n",
            "Epoch 1182/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0318 - acc: 0.9959 - val_loss: 0.0589 - val_acc: 0.9798\n",
            "Epoch 1183/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0255 - acc: 0.9949 - val_loss: 0.0595 - val_acc: 0.9798\n",
            "Epoch 1184/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0359 - acc: 0.9909 - val_loss: 0.0595 - val_acc: 0.9798\n",
            "Epoch 1185/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0256 - acc: 0.9929 - val_loss: 0.0588 - val_acc: 0.9798\n",
            "Epoch 1186/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0239 - acc: 0.9980 - val_loss: 0.0574 - val_acc: 0.9798\n",
            "Epoch 1187/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0280 - acc: 0.9909 - val_loss: 0.0569 - val_acc: 0.9798\n",
            "Epoch 1188/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0296 - acc: 0.9939 - val_loss: 0.0567 - val_acc: 0.9798\n",
            "Epoch 1189/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0254 - acc: 0.9929 - val_loss: 0.0563 - val_acc: 0.9798\n",
            "Epoch 1190/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0287 - acc: 0.9939 - val_loss: 0.0559 - val_acc: 0.9798\n",
            "Epoch 1191/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0297 - acc: 0.9909 - val_loss: 0.0544 - val_acc: 0.9798\n",
            "Epoch 1192/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0285 - acc: 0.9919 - val_loss: 0.0537 - val_acc: 0.9798\n",
            "Epoch 1193/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0258 - acc: 0.9959 - val_loss: 0.0521 - val_acc: 0.9798\n",
            "Epoch 1194/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0254 - acc: 0.9980 - val_loss: 0.0518 - val_acc: 0.9798\n",
            "Epoch 1195/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0329 - acc: 0.9919 - val_loss: 0.0518 - val_acc: 0.9798\n",
            "Epoch 1196/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0238 - acc: 0.9949 - val_loss: 0.0520 - val_acc: 0.9798\n",
            "Epoch 1197/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0294 - acc: 0.9929 - val_loss: 0.0512 - val_acc: 0.9798\n",
            "Epoch 1198/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0306 - acc: 0.9929 - val_loss: 0.0510 - val_acc: 0.9798\n",
            "Epoch 1199/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0279 - acc: 0.9939 - val_loss: 0.0482 - val_acc: 0.9798\n",
            "Epoch 1200/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0272 - acc: 0.9970 - val_loss: 0.0473 - val_acc: 0.9798\n",
            "Epoch 1201/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0250 - acc: 0.9949 - val_loss: 0.0472 - val_acc: 0.9798\n",
            "Epoch 1202/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0236 - acc: 0.9959 - val_loss: 0.0486 - val_acc: 0.9798\n",
            "Epoch 1203/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0248 - acc: 0.9949 - val_loss: 0.0506 - val_acc: 0.9798\n",
            "Epoch 1204/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0285 - acc: 0.9919 - val_loss: 0.0529 - val_acc: 0.9798\n",
            "Epoch 1205/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0355 - acc: 0.9878 - val_loss: 0.0559 - val_acc: 0.9798\n",
            "Epoch 1206/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0257 - acc: 0.9959 - val_loss: 0.0575 - val_acc: 0.9798\n",
            "Epoch 1207/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0294 - acc: 0.9959 - val_loss: 0.0555 - val_acc: 0.9798\n",
            "Epoch 1208/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0221 - acc: 0.9949 - val_loss: 0.0533 - val_acc: 0.9798\n",
            "Epoch 1209/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0294 - acc: 0.9919 - val_loss: 0.0509 - val_acc: 0.9798\n",
            "Epoch 1210/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0283 - acc: 0.9919 - val_loss: 0.0496 - val_acc: 0.9798\n",
            "Epoch 1211/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0247 - acc: 0.9929 - val_loss: 0.0504 - val_acc: 0.9798\n",
            "Epoch 1212/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0272 - acc: 0.9919 - val_loss: 0.0512 - val_acc: 0.9798\n",
            "Epoch 1213/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0276 - acc: 0.9929 - val_loss: 0.0496 - val_acc: 0.9798\n",
            "Epoch 1214/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0266 - acc: 0.9929 - val_loss: 0.0473 - val_acc: 0.9838\n",
            "Epoch 1215/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0265 - acc: 0.9949 - val_loss: 0.0471 - val_acc: 0.9798\n",
            "Epoch 1216/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0270 - acc: 0.9939 - val_loss: 0.0474 - val_acc: 0.9798\n",
            "Epoch 1217/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0289 - acc: 0.9929 - val_loss: 0.0478 - val_acc: 0.9798\n",
            "Epoch 1218/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0307 - acc: 0.9949 - val_loss: 0.0483 - val_acc: 0.9798\n",
            "Epoch 1219/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0260 - acc: 0.9939 - val_loss: 0.0467 - val_acc: 0.9798\n",
            "Epoch 1220/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0202 - acc: 0.9959 - val_loss: 0.0459 - val_acc: 0.9798\n",
            "Epoch 1221/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0260 - acc: 0.9919 - val_loss: 0.0464 - val_acc: 0.9838\n",
            "Epoch 1222/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0232 - acc: 0.9970 - val_loss: 0.0462 - val_acc: 0.9838\n",
            "Epoch 1223/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0410 - acc: 0.9909 - val_loss: 0.0440 - val_acc: 0.9798\n",
            "Epoch 1224/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0225 - acc: 0.9949 - val_loss: 0.0437 - val_acc: 0.9798\n",
            "Epoch 1225/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0226 - acc: 0.9970 - val_loss: 0.0449 - val_acc: 0.9798\n",
            "Epoch 1226/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0214 - acc: 0.9949 - val_loss: 0.0467 - val_acc: 0.9838\n",
            "Epoch 1227/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0360 - acc: 0.9868 - val_loss: 0.0475 - val_acc: 0.9838\n",
            "Epoch 1228/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0274 - acc: 0.9949 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1229/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0278 - acc: 0.9919 - val_loss: 0.0433 - val_acc: 0.9838\n",
            "Epoch 1230/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0275 - acc: 0.9919 - val_loss: 0.0442 - val_acc: 0.9838\n",
            "Epoch 1231/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0218 - acc: 0.9939 - val_loss: 0.0450 - val_acc: 0.9838\n",
            "Epoch 1232/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0282 - acc: 0.9929 - val_loss: 0.0449 - val_acc: 0.9838\n",
            "Epoch 1233/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0271 - acc: 0.9949 - val_loss: 0.0444 - val_acc: 0.9838\n",
            "Epoch 1234/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0298 - acc: 0.9919 - val_loss: 0.0449 - val_acc: 0.9838\n",
            "Epoch 1235/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0205 - acc: 0.9980 - val_loss: 0.0445 - val_acc: 0.9838\n",
            "Epoch 1236/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0184 - acc: 0.9980 - val_loss: 0.0456 - val_acc: 0.9838\n",
            "Epoch 1237/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0268 - acc: 0.9909 - val_loss: 0.0449 - val_acc: 0.9838\n",
            "Epoch 1238/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0199 - acc: 0.9970 - val_loss: 0.0437 - val_acc: 0.9838\n",
            "Epoch 1239/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0246 - acc: 0.9949 - val_loss: 0.0441 - val_acc: 0.9879\n",
            "Epoch 1240/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.0240 - acc: 0.9929 - val_loss: 0.0492 - val_acc: 0.9838\n",
            "Epoch 1241/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0379 - acc: 0.9898 - val_loss: 0.0533 - val_acc: 0.9757\n",
            "Epoch 1242/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0159 - acc: 0.9990 - val_loss: 0.0529 - val_acc: 0.9798\n",
            "Epoch 1243/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0201 - acc: 0.9959 - val_loss: 0.0511 - val_acc: 0.9838\n",
            "Epoch 1244/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0220 - acc: 0.9959 - val_loss: 0.0484 - val_acc: 0.9838\n",
            "Epoch 1245/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0257 - acc: 0.9949 - val_loss: 0.0482 - val_acc: 0.9838\n",
            "Epoch 1246/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0243 - acc: 0.9929 - val_loss: 0.0501 - val_acc: 0.9838\n",
            "Epoch 1247/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0208 - acc: 0.9959 - val_loss: 0.0504 - val_acc: 0.9838\n",
            "Epoch 1248/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0311 - acc: 0.9929 - val_loss: 0.0486 - val_acc: 0.9838\n",
            "Epoch 1249/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0269 - acc: 0.9898 - val_loss: 0.0466 - val_acc: 0.9838\n",
            "Epoch 1250/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0287 - acc: 0.9919 - val_loss: 0.0471 - val_acc: 0.9838\n",
            "Epoch 1251/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0205 - acc: 0.9970 - val_loss: 0.0476 - val_acc: 0.9838\n",
            "Epoch 1252/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0264 - acc: 0.9959 - val_loss: 0.0483 - val_acc: 0.9838\n",
            "Epoch 1253/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0214 - acc: 0.9980 - val_loss: 0.0495 - val_acc: 0.9838\n",
            "Epoch 1254/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0300 - acc: 0.9929 - val_loss: 0.0508 - val_acc: 0.9838\n",
            "Epoch 1255/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0215 - acc: 0.9939 - val_loss: 0.0503 - val_acc: 0.9798\n",
            "Epoch 1256/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0211 - acc: 0.9949 - val_loss: 0.0502 - val_acc: 0.9798\n",
            "Epoch 1257/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0209 - acc: 0.9970 - val_loss: 0.0515 - val_acc: 0.9798\n",
            "Epoch 1258/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0198 - acc: 0.9959 - val_loss: 0.0533 - val_acc: 0.9798\n",
            "Epoch 1259/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0291 - acc: 0.9939 - val_loss: 0.0544 - val_acc: 0.9798\n",
            "Epoch 1260/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0250 - acc: 0.9949 - val_loss: 0.0538 - val_acc: 0.9798\n",
            "Epoch 1261/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0287 - acc: 0.9949 - val_loss: 0.0549 - val_acc: 0.9798\n",
            "Epoch 1262/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0272 - acc: 0.9939 - val_loss: 0.0548 - val_acc: 0.9757\n",
            "Epoch 1263/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0290 - acc: 0.9909 - val_loss: 0.0516 - val_acc: 0.9798\n",
            "Epoch 1264/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0290 - acc: 0.9939 - val_loss: 0.0501 - val_acc: 0.9798\n",
            "Epoch 1265/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0290 - acc: 0.9970 - val_loss: 0.0499 - val_acc: 0.9798\n",
            "Epoch 1266/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0301 - acc: 0.9909 - val_loss: 0.0498 - val_acc: 0.9798\n",
            "Epoch 1267/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0252 - acc: 0.9959 - val_loss: 0.0514 - val_acc: 0.9798\n",
            "Epoch 1268/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0271 - acc: 0.9909 - val_loss: 0.0536 - val_acc: 0.9798\n",
            "Epoch 1269/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0261 - acc: 0.9939 - val_loss: 0.0534 - val_acc: 0.9798\n",
            "Epoch 1270/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0201 - acc: 0.9970 - val_loss: 0.0536 - val_acc: 0.9798\n",
            "Epoch 1271/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0254 - acc: 0.9919 - val_loss: 0.0520 - val_acc: 0.9798\n",
            "Epoch 1272/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0236 - acc: 0.9939 - val_loss: 0.0505 - val_acc: 0.9798\n",
            "Epoch 1273/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0237 - acc: 0.9939 - val_loss: 0.0504 - val_acc: 0.9798\n",
            "Epoch 1274/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0206 - acc: 0.9949 - val_loss: 0.0508 - val_acc: 0.9757\n",
            "Epoch 1275/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0189 - acc: 0.9970 - val_loss: 0.0521 - val_acc: 0.9757\n",
            "Epoch 1276/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0227 - acc: 0.9959 - val_loss: 0.0518 - val_acc: 0.9757\n",
            "Epoch 1277/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0206 - acc: 0.9959 - val_loss: 0.0505 - val_acc: 0.9757\n",
            "Epoch 1278/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0204 - acc: 0.9970 - val_loss: 0.0495 - val_acc: 0.9757\n",
            "Epoch 1279/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0265 - acc: 0.9929 - val_loss: 0.0481 - val_acc: 0.9757\n",
            "Epoch 1280/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0322 - acc: 0.9919 - val_loss: 0.0456 - val_acc: 0.9798\n",
            "Epoch 1281/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0243 - acc: 0.9949 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1282/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0223 - acc: 0.9949 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1283/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0245 - acc: 0.9919 - val_loss: 0.0456 - val_acc: 0.9798\n",
            "Epoch 1284/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0179 - acc: 0.9959 - val_loss: 0.0453 - val_acc: 0.9838\n",
            "Epoch 1285/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0204 - acc: 0.9959 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1286/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0259 - acc: 0.9939 - val_loss: 0.0482 - val_acc: 0.9798\n",
            "Epoch 1287/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0234 - acc: 0.9959 - val_loss: 0.0508 - val_acc: 0.9757\n",
            "Epoch 1288/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0283 - acc: 0.9909 - val_loss: 0.0488 - val_acc: 0.9757\n",
            "Epoch 1289/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0297 - acc: 0.9919 - val_loss: 0.0463 - val_acc: 0.9838\n",
            "Epoch 1290/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0243 - acc: 0.9909 - val_loss: 0.0455 - val_acc: 0.9798\n",
            "Epoch 1291/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0261 - acc: 0.9939 - val_loss: 0.0451 - val_acc: 0.9798\n",
            "Epoch 1292/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0146 - acc: 0.9990 - val_loss: 0.0446 - val_acc: 0.9798\n",
            "Epoch 1293/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0289 - acc: 0.9919 - val_loss: 0.0428 - val_acc: 0.9838\n",
            "Epoch 1294/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0206 - acc: 0.9949 - val_loss: 0.0438 - val_acc: 0.9838\n",
            "Epoch 1295/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0258 - acc: 0.9929 - val_loss: 0.0454 - val_acc: 0.9798\n",
            "Epoch 1296/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0196 - acc: 0.9959 - val_loss: 0.0450 - val_acc: 0.9838\n",
            "Epoch 1297/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0326 - acc: 0.9898 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1298/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0201 - acc: 0.9939 - val_loss: 0.0469 - val_acc: 0.9798\n",
            "Epoch 1299/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0223 - acc: 0.9959 - val_loss: 0.0474 - val_acc: 0.9798\n",
            "Epoch 1300/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0237 - acc: 0.9959 - val_loss: 0.0458 - val_acc: 0.9798\n",
            "Epoch 1301/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0219 - acc: 0.9919 - val_loss: 0.0432 - val_acc: 0.9798\n",
            "Epoch 1302/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0204 - acc: 0.9959 - val_loss: 0.0440 - val_acc: 0.9798\n",
            "Epoch 1303/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0228 - acc: 0.9939 - val_loss: 0.0444 - val_acc: 0.9838\n",
            "Epoch 1304/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0220 - acc: 0.9949 - val_loss: 0.0458 - val_acc: 0.9798\n",
            "Epoch 1305/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0238 - acc: 0.9909 - val_loss: 0.0455 - val_acc: 0.9798\n",
            "Epoch 1306/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0199 - acc: 0.9990 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1307/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0230 - acc: 0.9970 - val_loss: 0.0456 - val_acc: 0.9838\n",
            "Epoch 1308/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0184 - acc: 0.9970 - val_loss: 0.0445 - val_acc: 0.9838\n",
            "Epoch 1309/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0278 - acc: 0.9949 - val_loss: 0.0431 - val_acc: 0.9838\n",
            "Epoch 1310/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0193 - acc: 0.9959 - val_loss: 0.0430 - val_acc: 0.9838\n",
            "Epoch 1311/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0214 - acc: 0.9959 - val_loss: 0.0426 - val_acc: 0.9798\n",
            "Epoch 1312/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0167 - acc: 0.9949 - val_loss: 0.0423 - val_acc: 0.9838\n",
            "Epoch 1313/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0245 - acc: 0.9970 - val_loss: 0.0415 - val_acc: 0.9838\n",
            "Epoch 1314/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0228 - acc: 0.9929 - val_loss: 0.0413 - val_acc: 0.9879\n",
            "Epoch 1315/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0293 - acc: 0.9898 - val_loss: 0.0412 - val_acc: 0.9879\n",
            "Epoch 1316/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0256 - acc: 0.9909 - val_loss: 0.0412 - val_acc: 0.9838\n",
            "Epoch 1317/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0261 - acc: 0.9949 - val_loss: 0.0405 - val_acc: 0.9838\n",
            "Epoch 1318/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0157 - acc: 0.9980 - val_loss: 0.0406 - val_acc: 0.9838\n",
            "Epoch 1319/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0203 - acc: 0.9980 - val_loss: 0.0420 - val_acc: 0.9838\n",
            "Epoch 1320/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0173 - acc: 0.9970 - val_loss: 0.0418 - val_acc: 0.9838\n",
            "Epoch 1321/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0245 - acc: 0.9929 - val_loss: 0.0431 - val_acc: 0.9838\n",
            "Epoch 1322/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0203 - acc: 0.9970 - val_loss: 0.0413 - val_acc: 0.9838\n",
            "Epoch 1323/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0236 - acc: 0.9949 - val_loss: 0.0412 - val_acc: 0.9838\n",
            "Epoch 1324/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0201 - acc: 0.9970 - val_loss: 0.0426 - val_acc: 0.9838\n",
            "Epoch 1325/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0203 - acc: 0.9980 - val_loss: 0.0440 - val_acc: 0.9838\n",
            "Epoch 1326/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0171 - acc: 0.9990 - val_loss: 0.0447 - val_acc: 0.9838\n",
            "Epoch 1327/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0220 - acc: 0.9959 - val_loss: 0.0452 - val_acc: 0.9757\n",
            "Epoch 1328/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0196 - acc: 0.9949 - val_loss: 0.0429 - val_acc: 0.9798\n",
            "Epoch 1329/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0252 - acc: 0.9939 - val_loss: 0.0440 - val_acc: 0.9838\n",
            "Epoch 1330/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0201 - acc: 0.9949 - val_loss: 0.0466 - val_acc: 0.9838\n",
            "Epoch 1331/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0321 - acc: 0.9898 - val_loss: 0.0477 - val_acc: 0.9838\n",
            "Epoch 1332/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0304 - acc: 0.9929 - val_loss: 0.0491 - val_acc: 0.9798\n",
            "Epoch 1333/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0196 - acc: 0.9959 - val_loss: 0.0472 - val_acc: 0.9798\n",
            "Epoch 1334/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0215 - acc: 0.9939 - val_loss: 0.0443 - val_acc: 0.9798\n",
            "Epoch 1335/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0200 - acc: 0.9959 - val_loss: 0.0413 - val_acc: 0.9838\n",
            "Epoch 1336/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0187 - acc: 0.9959 - val_loss: 0.0413 - val_acc: 0.9838\n",
            "Epoch 1337/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0295 - acc: 0.9959 - val_loss: 0.0414 - val_acc: 0.9838\n",
            "Epoch 1338/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0283 - acc: 0.9929 - val_loss: 0.0429 - val_acc: 0.9838\n",
            "Epoch 1339/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0250 - acc: 0.9949 - val_loss: 0.0428 - val_acc: 0.9798\n",
            "Epoch 1340/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0187 - acc: 0.9970 - val_loss: 0.0434 - val_acc: 0.9798\n",
            "Epoch 1341/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0196 - acc: 0.9970 - val_loss: 0.0451 - val_acc: 0.9798\n",
            "Epoch 1342/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0186 - acc: 0.9980 - val_loss: 0.0456 - val_acc: 0.9798\n",
            "Epoch 1343/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0230 - acc: 0.9959 - val_loss: 0.0448 - val_acc: 0.9798\n",
            "Epoch 1344/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0221 - acc: 0.9949 - val_loss: 0.0448 - val_acc: 0.9798\n",
            "Epoch 1345/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0178 - acc: 0.9990 - val_loss: 0.0441 - val_acc: 0.9798\n",
            "Epoch 1346/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0234 - acc: 0.9939 - val_loss: 0.0452 - val_acc: 0.9798\n",
            "Epoch 1347/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0265 - acc: 0.9919 - val_loss: 0.0460 - val_acc: 0.9757\n",
            "Epoch 1348/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0165 - acc: 0.9970 - val_loss: 0.0441 - val_acc: 0.9798\n",
            "Epoch 1349/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0186 - acc: 0.9970 - val_loss: 0.0443 - val_acc: 0.9798\n",
            "Epoch 1350/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0273 - acc: 0.9909 - val_loss: 0.0452 - val_acc: 0.9798\n",
            "Epoch 1351/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0278 - acc: 0.9909 - val_loss: 0.0473 - val_acc: 0.9798\n",
            "Epoch 1352/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0210 - acc: 0.9959 - val_loss: 0.0503 - val_acc: 0.9798\n",
            "Epoch 1353/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.0193 - acc: 0.9970 - val_loss: 0.0504 - val_acc: 0.9798\n",
            "Epoch 1354/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0178 - acc: 0.9959 - val_loss: 0.0501 - val_acc: 0.9798\n",
            "Epoch 1355/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0187 - acc: 0.9970 - val_loss: 0.0477 - val_acc: 0.9798\n",
            "Epoch 1356/2000\n",
            "984/984 [==============================] - 0s 66us/step - loss: 0.0216 - acc: 0.9949 - val_loss: 0.0474 - val_acc: 0.9798\n",
            "Epoch 1357/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0248 - acc: 0.9949 - val_loss: 0.0500 - val_acc: 0.9798\n",
            "Epoch 1358/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0279 - acc: 0.9898 - val_loss: 0.0515 - val_acc: 0.9798\n",
            "Epoch 1359/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0230 - acc: 0.9949 - val_loss: 0.0508 - val_acc: 0.9798\n",
            "Epoch 1360/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0223 - acc: 0.9939 - val_loss: 0.0497 - val_acc: 0.9798\n",
            "Epoch 1361/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0223 - acc: 0.9949 - val_loss: 0.0506 - val_acc: 0.9798\n",
            "Epoch 1362/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0229 - acc: 0.9949 - val_loss: 0.0513 - val_acc: 0.9798\n",
            "Epoch 1363/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0223 - acc: 0.9959 - val_loss: 0.0493 - val_acc: 0.9798\n",
            "Epoch 1364/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0193 - acc: 0.9959 - val_loss: 0.0460 - val_acc: 0.9838\n",
            "Epoch 1365/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0173 - acc: 0.9980 - val_loss: 0.0448 - val_acc: 0.9838\n",
            "Epoch 1366/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0257 - acc: 0.9929 - val_loss: 0.0443 - val_acc: 0.9838\n",
            "Epoch 1367/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0202 - acc: 0.9970 - val_loss: 0.0444 - val_acc: 0.9838\n",
            "Epoch 1368/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0161 - acc: 0.9980 - val_loss: 0.0438 - val_acc: 0.9838\n",
            "Epoch 1369/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0193 - acc: 0.9980 - val_loss: 0.0431 - val_acc: 0.9798\n",
            "Epoch 1370/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0184 - acc: 0.9970 - val_loss: 0.0419 - val_acc: 0.9838\n",
            "Epoch 1371/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0206 - acc: 0.9959 - val_loss: 0.0423 - val_acc: 0.9838\n",
            "Epoch 1372/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0285 - acc: 0.9929 - val_loss: 0.0438 - val_acc: 0.9838\n",
            "Epoch 1373/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0195 - acc: 0.9949 - val_loss: 0.0454 - val_acc: 0.9838\n",
            "Epoch 1374/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0155 - acc: 0.9970 - val_loss: 0.0474 - val_acc: 0.9798\n",
            "Epoch 1375/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0196 - acc: 0.9970 - val_loss: 0.0469 - val_acc: 0.9798\n",
            "Epoch 1376/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0172 - acc: 0.9980 - val_loss: 0.0462 - val_acc: 0.9798\n",
            "Epoch 1377/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0240 - acc: 0.9919 - val_loss: 0.0450 - val_acc: 0.9798\n",
            "Epoch 1378/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0218 - acc: 0.9959 - val_loss: 0.0433 - val_acc: 0.9798\n",
            "Epoch 1379/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0204 - acc: 0.9970 - val_loss: 0.0419 - val_acc: 0.9838\n",
            "Epoch 1380/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0188 - acc: 0.9970 - val_loss: 0.0413 - val_acc: 0.9838\n",
            "Epoch 1381/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0200 - acc: 0.9959 - val_loss: 0.0447 - val_acc: 0.9838\n",
            "Epoch 1382/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0191 - acc: 0.9970 - val_loss: 0.0463 - val_acc: 0.9838\n",
            "Epoch 1383/2000\n",
            "984/984 [==============================] - 0s 66us/step - loss: 0.0174 - acc: 0.9980 - val_loss: 0.0462 - val_acc: 0.9798\n",
            "Epoch 1384/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0196 - acc: 0.9949 - val_loss: 0.0452 - val_acc: 0.9798\n",
            "Epoch 1385/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0160 - acc: 0.9970 - val_loss: 0.0445 - val_acc: 0.9798\n",
            "Epoch 1386/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0246 - acc: 0.9929 - val_loss: 0.0439 - val_acc: 0.9798\n",
            "Epoch 1387/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0215 - acc: 0.9959 - val_loss: 0.0443 - val_acc: 0.9798\n",
            "Epoch 1388/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0175 - acc: 0.9939 - val_loss: 0.0438 - val_acc: 0.9798\n",
            "Epoch 1389/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0242 - acc: 0.9929 - val_loss: 0.0423 - val_acc: 0.9798\n",
            "Epoch 1390/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0229 - acc: 0.9929 - val_loss: 0.0413 - val_acc: 0.9798\n",
            "Epoch 1391/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0176 - acc: 0.9959 - val_loss: 0.0397 - val_acc: 0.9798\n",
            "Epoch 1392/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0237 - acc: 0.9949 - val_loss: 0.0422 - val_acc: 0.9798\n",
            "Epoch 1393/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0125 - acc: 0.9980 - val_loss: 0.0436 - val_acc: 0.9798\n",
            "Epoch 1394/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0163 - acc: 0.9970 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1395/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0223 - acc: 0.9939 - val_loss: 0.0466 - val_acc: 0.9798\n",
            "Epoch 1396/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0247 - acc: 0.9868 - val_loss: 0.0478 - val_acc: 0.9798\n",
            "Epoch 1397/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0210 - acc: 0.9959 - val_loss: 0.0473 - val_acc: 0.9798\n",
            "Epoch 1398/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0178 - acc: 0.9959 - val_loss: 0.0479 - val_acc: 0.9798\n",
            "Epoch 1399/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0181 - acc: 0.9970 - val_loss: 0.0511 - val_acc: 0.9798\n",
            "Epoch 1400/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0161 - acc: 0.9980 - val_loss: 0.0507 - val_acc: 0.9798\n",
            "Epoch 1401/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0207 - acc: 0.9970 - val_loss: 0.0473 - val_acc: 0.9798\n",
            "Epoch 1402/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0192 - acc: 0.9959 - val_loss: 0.0452 - val_acc: 0.9798\n",
            "Epoch 1403/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0184 - acc: 0.9959 - val_loss: 0.0439 - val_acc: 0.9798\n",
            "Epoch 1404/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0201 - acc: 0.9970 - val_loss: 0.0454 - val_acc: 0.9798\n",
            "Epoch 1405/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0266 - acc: 0.9919 - val_loss: 0.0480 - val_acc: 0.9798\n",
            "Epoch 1406/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0237 - acc: 0.9929 - val_loss: 0.0490 - val_acc: 0.9798\n",
            "Epoch 1407/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0190 - acc: 0.9970 - val_loss: 0.0479 - val_acc: 0.9798\n",
            "Epoch 1408/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0172 - acc: 0.9959 - val_loss: 0.0456 - val_acc: 0.9798\n",
            "Epoch 1409/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0145 - acc: 0.9959 - val_loss: 0.0452 - val_acc: 0.9798\n",
            "Epoch 1410/2000\n",
            "984/984 [==============================] - 0s 73us/step - loss: 0.0150 - acc: 0.9970 - val_loss: 0.0441 - val_acc: 0.9838\n",
            "Epoch 1411/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0196 - acc: 0.9949 - val_loss: 0.0428 - val_acc: 0.9838\n",
            "Epoch 1412/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0260 - acc: 0.9898 - val_loss: 0.0426 - val_acc: 0.9798\n",
            "Epoch 1413/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0181 - acc: 0.9959 - val_loss: 0.0432 - val_acc: 0.9798\n",
            "Epoch 1414/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0159 - acc: 0.9970 - val_loss: 0.0442 - val_acc: 0.9798\n",
            "Epoch 1415/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0172 - acc: 0.9980 - val_loss: 0.0433 - val_acc: 0.9798\n",
            "Epoch 1416/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0200 - acc: 0.9959 - val_loss: 0.0424 - val_acc: 0.9838\n",
            "Epoch 1417/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0172 - acc: 0.9970 - val_loss: 0.0429 - val_acc: 0.9838\n",
            "Epoch 1418/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0288 - acc: 0.9898 - val_loss: 0.0431 - val_acc: 0.9838\n",
            "Epoch 1419/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0276 - acc: 0.9929 - val_loss: 0.0446 - val_acc: 0.9798\n",
            "Epoch 1420/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0154 - acc: 0.9959 - val_loss: 0.0450 - val_acc: 0.9798\n",
            "Epoch 1421/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0164 - acc: 0.9970 - val_loss: 0.0450 - val_acc: 0.9798\n",
            "Epoch 1422/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0188 - acc: 0.9949 - val_loss: 0.0453 - val_acc: 0.9798\n",
            "Epoch 1423/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0173 - acc: 0.9980 - val_loss: 0.0466 - val_acc: 0.9798\n",
            "Epoch 1424/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0215 - acc: 0.9929 - val_loss: 0.0468 - val_acc: 0.9798\n",
            "Epoch 1425/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0165 - acc: 0.9970 - val_loss: 0.0453 - val_acc: 0.9798\n",
            "Epoch 1426/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0195 - acc: 0.9949 - val_loss: 0.0436 - val_acc: 0.9798\n",
            "Epoch 1427/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0138 - acc: 0.9980 - val_loss: 0.0440 - val_acc: 0.9798\n",
            "Epoch 1428/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0194 - acc: 0.9949 - val_loss: 0.0454 - val_acc: 0.9798\n",
            "Epoch 1429/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0249 - acc: 0.9919 - val_loss: 0.0457 - val_acc: 0.9798\n",
            "Epoch 1430/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0177 - acc: 0.9959 - val_loss: 0.0437 - val_acc: 0.9838\n",
            "Epoch 1431/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0201 - acc: 0.9949 - val_loss: 0.0402 - val_acc: 0.9838\n",
            "Epoch 1432/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0148 - acc: 0.9959 - val_loss: 0.0392 - val_acc: 0.9838\n",
            "Epoch 1433/2000\n",
            "984/984 [==============================] - 0s 68us/step - loss: 0.0206 - acc: 0.9939 - val_loss: 0.0395 - val_acc: 0.9838\n",
            "Epoch 1434/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0162 - acc: 0.9949 - val_loss: 0.0407 - val_acc: 0.9798\n",
            "Epoch 1435/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0200 - acc: 0.9919 - val_loss: 0.0417 - val_acc: 0.9798\n",
            "Epoch 1436/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0154 - acc: 0.9980 - val_loss: 0.0426 - val_acc: 0.9798\n",
            "Epoch 1437/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0164 - acc: 0.9970 - val_loss: 0.0423 - val_acc: 0.9798\n",
            "Epoch 1438/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0153 - acc: 0.9990 - val_loss: 0.0413 - val_acc: 0.9798\n",
            "Epoch 1439/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0206 - acc: 0.9980 - val_loss: 0.0404 - val_acc: 0.9838\n",
            "Epoch 1440/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0190 - acc: 0.9939 - val_loss: 0.0402 - val_acc: 0.9838\n",
            "Epoch 1441/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0166 - acc: 0.9980 - val_loss: 0.0397 - val_acc: 0.9838\n",
            "Epoch 1442/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0198 - acc: 0.9959 - val_loss: 0.0403 - val_acc: 0.9838\n",
            "Epoch 1443/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0164 - acc: 0.9980 - val_loss: 0.0409 - val_acc: 0.9838\n",
            "Epoch 1444/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0168 - acc: 0.9970 - val_loss: 0.0407 - val_acc: 0.9838\n",
            "Epoch 1445/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0155 - acc: 0.9990 - val_loss: 0.0400 - val_acc: 0.9838\n",
            "Epoch 1446/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0205 - acc: 0.9949 - val_loss: 0.0394 - val_acc: 0.9838\n",
            "Epoch 1447/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0170 - acc: 0.9970 - val_loss: 0.0390 - val_acc: 0.9838\n",
            "Epoch 1448/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0253 - acc: 0.9909 - val_loss: 0.0396 - val_acc: 0.9838\n",
            "Epoch 1449/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0155 - acc: 0.9970 - val_loss: 0.0395 - val_acc: 0.9838\n",
            "Epoch 1450/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0160 - acc: 0.9980 - val_loss: 0.0414 - val_acc: 0.9838\n",
            "Epoch 1451/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0225 - acc: 0.9939 - val_loss: 0.0416 - val_acc: 0.9798\n",
            "Epoch 1452/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0115 - acc: 1.0000 - val_loss: 0.0417 - val_acc: 0.9798\n",
            "Epoch 1453/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0168 - acc: 0.9970 - val_loss: 0.0419 - val_acc: 0.9798\n",
            "Epoch 1454/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0170 - acc: 0.9959 - val_loss: 0.0407 - val_acc: 0.9838\n",
            "Epoch 1455/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0235 - acc: 0.9939 - val_loss: 0.0407 - val_acc: 0.9838\n",
            "Epoch 1456/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0139 - acc: 0.9970 - val_loss: 0.0408 - val_acc: 0.9838\n",
            "Epoch 1457/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0181 - acc: 0.9949 - val_loss: 0.0415 - val_acc: 0.9798\n",
            "Epoch 1458/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0168 - acc: 0.9929 - val_loss: 0.0391 - val_acc: 0.9798\n",
            "Epoch 1459/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0140 - acc: 0.9980 - val_loss: 0.0380 - val_acc: 0.9798\n",
            "Epoch 1460/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0129 - acc: 0.9980 - val_loss: 0.0385 - val_acc: 0.9798\n",
            "Epoch 1461/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0167 - acc: 0.9959 - val_loss: 0.0387 - val_acc: 0.9838\n",
            "Epoch 1462/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0239 - acc: 0.9939 - val_loss: 0.0371 - val_acc: 0.9838\n",
            "Epoch 1463/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0185 - acc: 0.9959 - val_loss: 0.0375 - val_acc: 0.9838\n",
            "Epoch 1464/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0134 - acc: 0.9980 - val_loss: 0.0388 - val_acc: 0.9838\n",
            "Epoch 1465/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0203 - acc: 0.9929 - val_loss: 0.0378 - val_acc: 0.9838\n",
            "Epoch 1466/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0192 - acc: 0.9949 - val_loss: 0.0381 - val_acc: 0.9838\n",
            "Epoch 1467/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0176 - acc: 0.9949 - val_loss: 0.0387 - val_acc: 0.9838\n",
            "Epoch 1468/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0178 - acc: 0.9949 - val_loss: 0.0407 - val_acc: 0.9798\n",
            "Epoch 1469/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0213 - acc: 0.9939 - val_loss: 0.0414 - val_acc: 0.9838\n",
            "Epoch 1470/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0213 - acc: 0.9929 - val_loss: 0.0397 - val_acc: 0.9838\n",
            "Epoch 1471/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0144 - acc: 0.9970 - val_loss: 0.0388 - val_acc: 0.9838\n",
            "Epoch 1472/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0215 - acc: 0.9959 - val_loss: 0.0383 - val_acc: 0.9798\n",
            "Epoch 1473/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0168 - acc: 0.9970 - val_loss: 0.0385 - val_acc: 0.9798\n",
            "Epoch 1474/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.0181 - acc: 0.9949 - val_loss: 0.0397 - val_acc: 0.9798\n",
            "Epoch 1475/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0183 - acc: 0.9959 - val_loss: 0.0405 - val_acc: 0.9798\n",
            "Epoch 1476/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0166 - acc: 0.9959 - val_loss: 0.0387 - val_acc: 0.9798\n",
            "Epoch 1477/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0158 - acc: 0.9980 - val_loss: 0.0391 - val_acc: 0.9798\n",
            "Epoch 1478/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0172 - acc: 0.9970 - val_loss: 0.0396 - val_acc: 0.9798\n",
            "Epoch 1479/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0146 - acc: 0.9970 - val_loss: 0.0410 - val_acc: 0.9798\n",
            "Epoch 1480/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0170 - acc: 0.9980 - val_loss: 0.0404 - val_acc: 0.9798\n",
            "Epoch 1481/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0163 - acc: 0.9959 - val_loss: 0.0412 - val_acc: 0.9798\n",
            "Epoch 1482/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0206 - acc: 0.9949 - val_loss: 0.0435 - val_acc: 0.9798\n",
            "Epoch 1483/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0107 - acc: 0.9990 - val_loss: 0.0451 - val_acc: 0.9798\n",
            "Epoch 1484/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0112 - acc: 1.0000 - val_loss: 0.0465 - val_acc: 0.9798\n",
            "Epoch 1485/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0190 - acc: 0.9959 - val_loss: 0.0464 - val_acc: 0.9798\n",
            "Epoch 1486/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0194 - acc: 0.9949 - val_loss: 0.0431 - val_acc: 0.9798\n",
            "Epoch 1487/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0134 - acc: 0.9980 - val_loss: 0.0412 - val_acc: 0.9798\n",
            "Epoch 1488/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0219 - acc: 0.9919 - val_loss: 0.0406 - val_acc: 0.9798\n",
            "Epoch 1489/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0200 - acc: 0.9959 - val_loss: 0.0441 - val_acc: 0.9798\n",
            "Epoch 1490/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0133 - acc: 0.9970 - val_loss: 0.0463 - val_acc: 0.9798\n",
            "Epoch 1491/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0145 - acc: 0.9959 - val_loss: 0.0474 - val_acc: 0.9798\n",
            "Epoch 1492/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0181 - acc: 0.9959 - val_loss: 0.0446 - val_acc: 0.9798\n",
            "Epoch 1493/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0152 - acc: 0.9970 - val_loss: 0.0427 - val_acc: 0.9798\n",
            "Epoch 1494/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0155 - acc: 0.9959 - val_loss: 0.0415 - val_acc: 0.9798\n",
            "Epoch 1495/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0169 - acc: 0.9959 - val_loss: 0.0413 - val_acc: 0.9798\n",
            "Epoch 1496/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0157 - acc: 0.9990 - val_loss: 0.0418 - val_acc: 0.9798\n",
            "Epoch 1497/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0137 - acc: 0.9970 - val_loss: 0.0416 - val_acc: 0.9798\n",
            "Epoch 1498/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0141 - acc: 0.9970 - val_loss: 0.0417 - val_acc: 0.9798\n",
            "Epoch 1499/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0167 - acc: 0.9959 - val_loss: 0.0442 - val_acc: 0.9798\n",
            "Epoch 1500/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0133 - acc: 0.9990 - val_loss: 0.0441 - val_acc: 0.9798\n",
            "Epoch 1501/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0121 - acc: 0.9970 - val_loss: 0.0429 - val_acc: 0.9798\n",
            "Epoch 1502/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0165 - acc: 0.9959 - val_loss: 0.0429 - val_acc: 0.9798\n",
            "Epoch 1503/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0165 - acc: 0.9970 - val_loss: 0.0420 - val_acc: 0.9798\n",
            "Epoch 1504/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0165 - acc: 0.9949 - val_loss: 0.0411 - val_acc: 0.9798\n",
            "Epoch 1505/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0119 - acc: 0.9990 - val_loss: 0.0423 - val_acc: 0.9798\n",
            "Epoch 1506/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0131 - acc: 0.9980 - val_loss: 0.0408 - val_acc: 0.9798\n",
            "Epoch 1507/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0194 - acc: 0.9949 - val_loss: 0.0390 - val_acc: 0.9798\n",
            "Epoch 1508/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0204 - acc: 0.9959 - val_loss: 0.0385 - val_acc: 0.9798\n",
            "Epoch 1509/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0212 - acc: 0.9949 - val_loss: 0.0400 - val_acc: 0.9798\n",
            "Epoch 1510/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0116 - acc: 0.9980 - val_loss: 0.0415 - val_acc: 0.9798\n",
            "Epoch 1511/2000\n",
            "984/984 [==============================] - 0s 69us/step - loss: 0.0163 - acc: 0.9970 - val_loss: 0.0442 - val_acc: 0.9798\n",
            "Epoch 1512/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0178 - acc: 0.9949 - val_loss: 0.0448 - val_acc: 0.9798\n",
            "Epoch 1513/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0130 - acc: 0.9980 - val_loss: 0.0445 - val_acc: 0.9798\n",
            "Epoch 1514/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0183 - acc: 0.9959 - val_loss: 0.0436 - val_acc: 0.9798\n",
            "Epoch 1515/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0136 - acc: 0.9970 - val_loss: 0.0440 - val_acc: 0.9798\n",
            "Epoch 1516/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0133 - acc: 0.9959 - val_loss: 0.0437 - val_acc: 0.9798\n",
            "Epoch 1517/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0149 - acc: 0.9980 - val_loss: 0.0424 - val_acc: 0.9798\n",
            "Epoch 1518/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0120 - acc: 0.9990 - val_loss: 0.0408 - val_acc: 0.9798\n",
            "Epoch 1519/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0149 - acc: 0.9959 - val_loss: 0.0406 - val_acc: 0.9798\n",
            "Epoch 1520/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0144 - acc: 0.9980 - val_loss: 0.0406 - val_acc: 0.9798\n",
            "Epoch 1521/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0230 - acc: 0.9929 - val_loss: 0.0388 - val_acc: 0.9798\n",
            "Epoch 1522/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0154 - acc: 0.9949 - val_loss: 0.0365 - val_acc: 0.9838\n",
            "Epoch 1523/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0139 - acc: 0.9970 - val_loss: 0.0368 - val_acc: 0.9838\n",
            "Epoch 1524/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0135 - acc: 0.9970 - val_loss: 0.0354 - val_acc: 0.9879\n",
            "Epoch 1525/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0122 - acc: 0.9990 - val_loss: 0.0354 - val_acc: 0.9879\n",
            "Epoch 1526/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0162 - acc: 0.9959 - val_loss: 0.0377 - val_acc: 0.9879\n",
            "Epoch 1527/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0133 - acc: 0.9980 - val_loss: 0.0388 - val_acc: 0.9838\n",
            "Epoch 1528/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0128 - acc: 0.9970 - val_loss: 0.0375 - val_acc: 0.9838\n",
            "Epoch 1529/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0182 - acc: 0.9970 - val_loss: 0.0373 - val_acc: 0.9838\n",
            "Epoch 1530/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0133 - acc: 0.9970 - val_loss: 0.0387 - val_acc: 0.9838\n",
            "Epoch 1531/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0178 - acc: 0.9939 - val_loss: 0.0405 - val_acc: 0.9838\n",
            "Epoch 1532/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0166 - acc: 0.9959 - val_loss: 0.0394 - val_acc: 0.9838\n",
            "Epoch 1533/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0202 - acc: 0.9919 - val_loss: 0.0365 - val_acc: 0.9838\n",
            "Epoch 1534/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0199 - acc: 0.9939 - val_loss: 0.0353 - val_acc: 0.9838\n",
            "Epoch 1535/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0113 - acc: 0.9980 - val_loss: 0.0357 - val_acc: 0.9798\n",
            "Epoch 1536/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0158 - acc: 0.9970 - val_loss: 0.0371 - val_acc: 0.9798\n",
            "Epoch 1537/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0135 - acc: 0.9980 - val_loss: 0.0377 - val_acc: 0.9838\n",
            "Epoch 1538/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0151 - acc: 0.9959 - val_loss: 0.0378 - val_acc: 0.9838\n",
            "Epoch 1539/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0138 - acc: 1.0000 - val_loss: 0.0383 - val_acc: 0.9838\n",
            "Epoch 1540/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0111 - acc: 0.9990 - val_loss: 0.0385 - val_acc: 0.9838\n",
            "Epoch 1541/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0117 - acc: 0.9980 - val_loss: 0.0389 - val_acc: 0.9838\n",
            "Epoch 1542/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0248 - acc: 0.9949 - val_loss: 0.0399 - val_acc: 0.9838\n",
            "Epoch 1543/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0181 - acc: 0.9970 - val_loss: 0.0403 - val_acc: 0.9838\n",
            "Epoch 1544/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0168 - acc: 0.9959 - val_loss: 0.0391 - val_acc: 0.9838\n",
            "Epoch 1545/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0128 - acc: 1.0000 - val_loss: 0.0396 - val_acc: 0.9838\n",
            "Epoch 1546/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0149 - acc: 0.9959 - val_loss: 0.0397 - val_acc: 0.9838\n",
            "Epoch 1547/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0123 - acc: 0.9990 - val_loss: 0.0391 - val_acc: 0.9838\n",
            "Epoch 1548/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0190 - acc: 0.9949 - val_loss: 0.0380 - val_acc: 0.9838\n",
            "Epoch 1549/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0215 - acc: 0.9949 - val_loss: 0.0379 - val_acc: 0.9798\n",
            "Epoch 1550/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0097 - acc: 0.9990 - val_loss: 0.0399 - val_acc: 0.9798\n",
            "Epoch 1551/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0177 - acc: 0.9970 - val_loss: 0.0393 - val_acc: 0.9798\n",
            "Epoch 1552/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0132 - acc: 0.9980 - val_loss: 0.0386 - val_acc: 0.9798\n",
            "Epoch 1553/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0114 - acc: 0.9980 - val_loss: 0.0397 - val_acc: 0.9798\n",
            "Epoch 1554/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0155 - acc: 0.9959 - val_loss: 0.0416 - val_acc: 0.9798\n",
            "Epoch 1555/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0128 - acc: 0.9990 - val_loss: 0.0402 - val_acc: 0.9798\n",
            "Epoch 1556/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0119 - acc: 0.9980 - val_loss: 0.0393 - val_acc: 0.9798\n",
            "Epoch 1557/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0142 - acc: 0.9980 - val_loss: 0.0404 - val_acc: 0.9798\n",
            "Epoch 1558/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0114 - acc: 0.9980 - val_loss: 0.0422 - val_acc: 0.9798\n",
            "Epoch 1559/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0107 - acc: 0.9990 - val_loss: 0.0439 - val_acc: 0.9798\n",
            "Epoch 1560/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0138 - acc: 0.9970 - val_loss: 0.0432 - val_acc: 0.9798\n",
            "Epoch 1561/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0130 - acc: 0.9980 - val_loss: 0.0413 - val_acc: 0.9798\n",
            "Epoch 1562/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0130 - acc: 0.9959 - val_loss: 0.0385 - val_acc: 0.9798\n",
            "Epoch 1563/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0149 - acc: 0.9949 - val_loss: 0.0366 - val_acc: 0.9798\n",
            "Epoch 1564/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0131 - acc: 0.9959 - val_loss: 0.0375 - val_acc: 0.9798\n",
            "Epoch 1565/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0134 - acc: 0.9970 - val_loss: 0.0369 - val_acc: 0.9798\n",
            "Epoch 1566/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0091 - acc: 1.0000 - val_loss: 0.0369 - val_acc: 0.9798\n",
            "Epoch 1567/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0123 - acc: 0.9990 - val_loss: 0.0373 - val_acc: 0.9798\n",
            "Epoch 1568/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0162 - acc: 0.9949 - val_loss: 0.0388 - val_acc: 0.9798\n",
            "Epoch 1569/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0183 - acc: 0.9939 - val_loss: 0.0377 - val_acc: 0.9798\n",
            "Epoch 1570/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0129 - acc: 0.9970 - val_loss: 0.0351 - val_acc: 0.9798\n",
            "Epoch 1571/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0125 - acc: 0.9970 - val_loss: 0.0325 - val_acc: 0.9838\n",
            "Epoch 1572/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0155 - acc: 0.9949 - val_loss: 0.0353 - val_acc: 0.9798\n",
            "Epoch 1573/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0180 - acc: 0.9939 - val_loss: 0.0383 - val_acc: 0.9798\n",
            "Epoch 1574/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0152 - acc: 0.9959 - val_loss: 0.0395 - val_acc: 0.9798\n",
            "Epoch 1575/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0161 - acc: 0.9949 - val_loss: 0.0418 - val_acc: 0.9798\n",
            "Epoch 1576/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0143 - acc: 0.9970 - val_loss: 0.0412 - val_acc: 0.9798\n",
            "Epoch 1577/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0193 - acc: 0.9949 - val_loss: 0.0379 - val_acc: 0.9798\n",
            "Epoch 1578/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0178 - acc: 0.9949 - val_loss: 0.0341 - val_acc: 0.9798\n",
            "Epoch 1579/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0135 - acc: 0.9970 - val_loss: 0.0349 - val_acc: 0.9798\n",
            "Epoch 1580/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0122 - acc: 0.9990 - val_loss: 0.0356 - val_acc: 0.9798\n",
            "Epoch 1581/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0180 - acc: 0.9939 - val_loss: 0.0357 - val_acc: 0.9798\n",
            "Epoch 1582/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0152 - acc: 0.9980 - val_loss: 0.0379 - val_acc: 0.9798\n",
            "Epoch 1583/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0135 - acc: 0.9980 - val_loss: 0.0394 - val_acc: 0.9798\n",
            "Epoch 1584/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0199 - acc: 0.9949 - val_loss: 0.0403 - val_acc: 0.9838\n",
            "Epoch 1585/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0145 - acc: 0.9980 - val_loss: 0.0395 - val_acc: 0.9838\n",
            "Epoch 1586/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0171 - acc: 0.9939 - val_loss: 0.0398 - val_acc: 0.9798\n",
            "Epoch 1587/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0106 - acc: 0.9990 - val_loss: 0.0410 - val_acc: 0.9798\n",
            "Epoch 1588/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0128 - acc: 0.9980 - val_loss: 0.0415 - val_acc: 0.9798\n",
            "Epoch 1589/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0107 - acc: 0.9980 - val_loss: 0.0403 - val_acc: 0.9798\n",
            "Epoch 1590/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0150 - acc: 0.9970 - val_loss: 0.0416 - val_acc: 0.9798\n",
            "Epoch 1591/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0165 - acc: 0.9939 - val_loss: 0.0421 - val_acc: 0.9838\n",
            "Epoch 1592/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0110 - acc: 0.9970 - val_loss: 0.0389 - val_acc: 0.9838\n",
            "Epoch 1593/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0137 - acc: 0.9970 - val_loss: 0.0367 - val_acc: 0.9838\n",
            "Epoch 1594/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0153 - acc: 0.9959 - val_loss: 0.0357 - val_acc: 0.9838\n",
            "Epoch 1595/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0124 - acc: 0.9959 - val_loss: 0.0363 - val_acc: 0.9838\n",
            "Epoch 1596/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0145 - acc: 0.9980 - val_loss: 0.0373 - val_acc: 0.9838\n",
            "Epoch 1597/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0129 - acc: 0.9980 - val_loss: 0.0370 - val_acc: 0.9838\n",
            "Epoch 1598/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0097 - acc: 0.9980 - val_loss: 0.0361 - val_acc: 0.9838\n",
            "Epoch 1599/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0132 - acc: 0.9959 - val_loss: 0.0332 - val_acc: 0.9879\n",
            "Epoch 1600/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0109 - acc: 0.9980 - val_loss: 0.0315 - val_acc: 0.9879\n",
            "Epoch 1601/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0144 - acc: 0.9959 - val_loss: 0.0333 - val_acc: 0.9838\n",
            "Epoch 1602/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0135 - acc: 0.9990 - val_loss: 0.0347 - val_acc: 0.9838\n",
            "Epoch 1603/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0187 - acc: 0.9959 - val_loss: 0.0356 - val_acc: 0.9838\n",
            "Epoch 1604/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0137 - acc: 0.9959 - val_loss: 0.0357 - val_acc: 0.9838\n",
            "Epoch 1605/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0156 - acc: 0.9959 - val_loss: 0.0389 - val_acc: 0.9798\n",
            "Epoch 1606/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0132 - acc: 0.9970 - val_loss: 0.0404 - val_acc: 0.9798\n",
            "Epoch 1607/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0160 - acc: 0.9959 - val_loss: 0.0387 - val_acc: 0.9838\n",
            "Epoch 1608/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0105 - acc: 0.9990 - val_loss: 0.0378 - val_acc: 0.9838\n",
            "Epoch 1609/2000\n",
            "984/984 [==============================] - 0s 63us/step - loss: 0.0139 - acc: 0.9970 - val_loss: 0.0353 - val_acc: 0.9879\n",
            "Epoch 1610/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0099 - acc: 0.9980 - val_loss: 0.0355 - val_acc: 0.9879\n",
            "Epoch 1611/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0116 - acc: 0.9970 - val_loss: 0.0367 - val_acc: 0.9838\n",
            "Epoch 1612/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0108 - acc: 0.9970 - val_loss: 0.0399 - val_acc: 0.9798\n",
            "Epoch 1613/2000\n",
            "984/984 [==============================] - 0s 45us/step - loss: 0.0147 - acc: 0.9959 - val_loss: 0.0415 - val_acc: 0.9798\n",
            "Epoch 1614/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0121 - acc: 0.9970 - val_loss: 0.0415 - val_acc: 0.9798\n",
            "Epoch 1615/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0214 - acc: 0.9949 - val_loss: 0.0422 - val_acc: 0.9798\n",
            "Epoch 1616/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0089 - acc: 1.0000 - val_loss: 0.0431 - val_acc: 0.9798\n",
            "Epoch 1617/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0136 - acc: 0.9980 - val_loss: 0.0450 - val_acc: 0.9798\n",
            "Epoch 1618/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0104 - acc: 0.9990 - val_loss: 0.0463 - val_acc: 0.9798\n",
            "Epoch 1619/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0120 - acc: 0.9980 - val_loss: 0.0460 - val_acc: 0.9798\n",
            "Epoch 1620/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0177 - acc: 0.9959 - val_loss: 0.0439 - val_acc: 0.9798\n",
            "Epoch 1621/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0199 - acc: 0.9949 - val_loss: 0.0384 - val_acc: 0.9798\n",
            "Epoch 1622/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0108 - acc: 0.9990 - val_loss: 0.0354 - val_acc: 0.9798\n",
            "Epoch 1623/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0112 - acc: 0.9990 - val_loss: 0.0360 - val_acc: 0.9798\n",
            "Epoch 1624/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0125 - acc: 0.9980 - val_loss: 0.0351 - val_acc: 0.9838\n",
            "Epoch 1625/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0153 - acc: 0.9959 - val_loss: 0.0343 - val_acc: 0.9838\n",
            "Epoch 1626/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0133 - acc: 0.9959 - val_loss: 0.0354 - val_acc: 0.9838\n",
            "Epoch 1627/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0128 - acc: 0.9970 - val_loss: 0.0351 - val_acc: 0.9838\n",
            "Epoch 1628/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0139 - acc: 0.9970 - val_loss: 0.0344 - val_acc: 0.9838\n",
            "Epoch 1629/2000\n",
            "984/984 [==============================] - 0s 44us/step - loss: 0.0131 - acc: 0.9959 - val_loss: 0.0344 - val_acc: 0.9838\n",
            "Epoch 1630/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0123 - acc: 0.9980 - val_loss: 0.0358 - val_acc: 0.9838\n",
            "Epoch 1631/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.0139 - acc: 0.9970 - val_loss: 0.0369 - val_acc: 0.9838\n",
            "Epoch 1632/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0133 - acc: 0.9990 - val_loss: 0.0376 - val_acc: 0.9838\n",
            "Epoch 1633/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0088 - acc: 1.0000 - val_loss: 0.0374 - val_acc: 0.9798\n",
            "Epoch 1634/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0103 - acc: 0.9980 - val_loss: 0.0366 - val_acc: 0.9798\n",
            "Epoch 1635/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0085 - acc: 0.9990 - val_loss: 0.0357 - val_acc: 0.9798\n",
            "Epoch 1636/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0104 - acc: 0.9980 - val_loss: 0.0345 - val_acc: 0.9798\n",
            "Epoch 1637/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0155 - acc: 0.9970 - val_loss: 0.0342 - val_acc: 0.9798\n",
            "Epoch 1638/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0097 - acc: 0.9990 - val_loss: 0.0360 - val_acc: 0.9798\n",
            "Epoch 1639/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0097 - acc: 0.9980 - val_loss: 0.0368 - val_acc: 0.9838\n",
            "Epoch 1640/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0100 - acc: 0.9980 - val_loss: 0.0367 - val_acc: 0.9838\n",
            "Epoch 1641/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0133 - acc: 0.9959 - val_loss: 0.0354 - val_acc: 0.9838\n",
            "Epoch 1642/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0119 - acc: 0.9990 - val_loss: 0.0337 - val_acc: 0.9838\n",
            "Epoch 1643/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0141 - acc: 0.9949 - val_loss: 0.0334 - val_acc: 0.9838\n",
            "Epoch 1644/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0124 - acc: 0.9959 - val_loss: 0.0339 - val_acc: 0.9798\n",
            "Epoch 1645/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0165 - acc: 0.9939 - val_loss: 0.0365 - val_acc: 0.9798\n",
            "Epoch 1646/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0141 - acc: 0.9980 - val_loss: 0.0371 - val_acc: 0.9798\n",
            "Epoch 1647/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0114 - acc: 0.9980 - val_loss: 0.0361 - val_acc: 0.9798\n",
            "Epoch 1648/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0136 - acc: 0.9980 - val_loss: 0.0364 - val_acc: 0.9798\n",
            "Epoch 1649/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0119 - acc: 0.9980 - val_loss: 0.0349 - val_acc: 0.9798\n",
            "Epoch 1650/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0103 - acc: 0.9970 - val_loss: 0.0354 - val_acc: 0.9798\n",
            "Epoch 1651/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0144 - acc: 0.9949 - val_loss: 0.0344 - val_acc: 0.9798\n",
            "Epoch 1652/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0152 - acc: 0.9980 - val_loss: 0.0347 - val_acc: 0.9838\n",
            "Epoch 1653/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0169 - acc: 0.9959 - val_loss: 0.0333 - val_acc: 0.9838\n",
            "Epoch 1654/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0144 - acc: 0.9959 - val_loss: 0.0326 - val_acc: 0.9838\n",
            "Epoch 1655/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0112 - acc: 0.9990 - val_loss: 0.0337 - val_acc: 0.9798\n",
            "Epoch 1656/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0128 - acc: 0.9990 - val_loss: 0.0334 - val_acc: 0.9798\n",
            "Epoch 1657/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0122 - acc: 0.9980 - val_loss: 0.0326 - val_acc: 0.9798\n",
            "Epoch 1658/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0155 - acc: 0.9970 - val_loss: 0.0329 - val_acc: 0.9798\n",
            "Epoch 1659/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0099 - acc: 0.9980 - val_loss: 0.0335 - val_acc: 0.9798\n",
            "Epoch 1660/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0095 - acc: 1.0000 - val_loss: 0.0339 - val_acc: 0.9798\n",
            "Epoch 1661/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0090 - acc: 0.9990 - val_loss: 0.0341 - val_acc: 0.9798\n",
            "Epoch 1662/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0101 - acc: 0.9970 - val_loss: 0.0360 - val_acc: 0.9798\n",
            "Epoch 1663/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0116 - acc: 0.9980 - val_loss: 0.0397 - val_acc: 0.9798\n",
            "Epoch 1664/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0143 - acc: 0.9949 - val_loss: 0.0405 - val_acc: 0.9798\n",
            "Epoch 1665/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0162 - acc: 0.9970 - val_loss: 0.0366 - val_acc: 0.9798\n",
            "Epoch 1666/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0181 - acc: 0.9949 - val_loss: 0.0357 - val_acc: 0.9798\n",
            "Epoch 1667/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0166 - acc: 0.9939 - val_loss: 0.0363 - val_acc: 0.9798\n",
            "Epoch 1668/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0161 - acc: 0.9959 - val_loss: 0.0359 - val_acc: 0.9838\n",
            "Epoch 1669/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0107 - acc: 1.0000 - val_loss: 0.0373 - val_acc: 0.9838\n",
            "Epoch 1670/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0116 - acc: 0.9970 - val_loss: 0.0389 - val_acc: 0.9838\n",
            "Epoch 1671/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0106 - acc: 0.9980 - val_loss: 0.0378 - val_acc: 0.9838\n",
            "Epoch 1672/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0123 - acc: 0.9980 - val_loss: 0.0362 - val_acc: 0.9838\n",
            "Epoch 1673/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0131 - acc: 0.9980 - val_loss: 0.0345 - val_acc: 0.9838\n",
            "Epoch 1674/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0096 - acc: 0.9990 - val_loss: 0.0326 - val_acc: 0.9838\n",
            "Epoch 1675/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0144 - acc: 0.9949 - val_loss: 0.0336 - val_acc: 0.9838\n",
            "Epoch 1676/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0093 - acc: 0.9980 - val_loss: 0.0353 - val_acc: 0.9838\n",
            "Epoch 1677/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0132 - acc: 0.9970 - val_loss: 0.0369 - val_acc: 0.9798\n",
            "Epoch 1678/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0153 - acc: 0.9929 - val_loss: 0.0376 - val_acc: 0.9798\n",
            "Epoch 1679/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0142 - acc: 0.9959 - val_loss: 0.0375 - val_acc: 0.9838\n",
            "Epoch 1680/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0129 - acc: 0.9990 - val_loss: 0.0365 - val_acc: 0.9838\n",
            "Epoch 1681/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0092 - acc: 0.9980 - val_loss: 0.0352 - val_acc: 0.9838\n",
            "Epoch 1682/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0103 - acc: 0.9990 - val_loss: 0.0368 - val_acc: 0.9838\n",
            "Epoch 1683/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0118 - acc: 0.9970 - val_loss: 0.0381 - val_acc: 0.9838\n",
            "Epoch 1684/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0137 - acc: 0.9970 - val_loss: 0.0409 - val_acc: 0.9798\n",
            "Epoch 1685/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0149 - acc: 0.9959 - val_loss: 0.0404 - val_acc: 0.9798\n",
            "Epoch 1686/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0080 - acc: 0.9990 - val_loss: 0.0385 - val_acc: 0.9798\n",
            "Epoch 1687/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0106 - acc: 0.9980 - val_loss: 0.0381 - val_acc: 0.9798\n",
            "Epoch 1688/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0169 - acc: 0.9939 - val_loss: 0.0373 - val_acc: 0.9798\n",
            "Epoch 1689/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0086 - acc: 0.9990 - val_loss: 0.0345 - val_acc: 0.9798\n",
            "Epoch 1690/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0139 - acc: 0.9959 - val_loss: 0.0355 - val_acc: 0.9798\n",
            "Epoch 1691/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0110 - acc: 0.9990 - val_loss: 0.0365 - val_acc: 0.9798\n",
            "Epoch 1692/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0107 - acc: 0.9990 - val_loss: 0.0355 - val_acc: 0.9798\n",
            "Epoch 1693/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0124 - acc: 0.9959 - val_loss: 0.0341 - val_acc: 0.9798\n",
            "Epoch 1694/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0116 - acc: 0.9980 - val_loss: 0.0332 - val_acc: 0.9798\n",
            "Epoch 1695/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0084 - acc: 0.9990 - val_loss: 0.0318 - val_acc: 0.9798\n",
            "Epoch 1696/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0117 - acc: 0.9949 - val_loss: 0.0305 - val_acc: 0.9798\n",
            "Epoch 1697/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0159 - acc: 0.9949 - val_loss: 0.0297 - val_acc: 0.9798\n",
            "Epoch 1698/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0148 - acc: 0.9980 - val_loss: 0.0289 - val_acc: 0.9879\n",
            "Epoch 1699/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0105 - acc: 0.9990 - val_loss: 0.0291 - val_acc: 0.9879\n",
            "Epoch 1700/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0167 - acc: 0.9949 - val_loss: 0.0300 - val_acc: 0.9879\n",
            "Epoch 1701/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0073 - acc: 0.9990 - val_loss: 0.0311 - val_acc: 0.9879\n",
            "Epoch 1702/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0095 - acc: 1.0000 - val_loss: 0.0312 - val_acc: 0.9879\n",
            "Epoch 1703/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0136 - acc: 0.9959 - val_loss: 0.0313 - val_acc: 0.9838\n",
            "Epoch 1704/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0086 - acc: 1.0000 - val_loss: 0.0301 - val_acc: 0.9838\n",
            "Epoch 1705/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0079 - acc: 1.0000 - val_loss: 0.0299 - val_acc: 0.9879\n",
            "Epoch 1706/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0158 - acc: 0.9949 - val_loss: 0.0309 - val_acc: 0.9879\n",
            "Epoch 1707/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0145 - acc: 0.9970 - val_loss: 0.0332 - val_acc: 0.9879\n",
            "Epoch 1708/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0094 - acc: 0.9990 - val_loss: 0.0336 - val_acc: 0.9879\n",
            "Epoch 1709/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0164 - acc: 0.9959 - val_loss: 0.0311 - val_acc: 0.9879\n",
            "Epoch 1710/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0101 - acc: 0.9980 - val_loss: 0.0317 - val_acc: 0.9838\n",
            "Epoch 1711/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0095 - acc: 0.9990 - val_loss: 0.0333 - val_acc: 0.9798\n",
            "Epoch 1712/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0130 - acc: 0.9980 - val_loss: 0.0340 - val_acc: 0.9838\n",
            "Epoch 1713/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0143 - acc: 0.9980 - val_loss: 0.0356 - val_acc: 0.9798\n",
            "Epoch 1714/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0094 - acc: 0.9970 - val_loss: 0.0379 - val_acc: 0.9798\n",
            "Epoch 1715/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0097 - acc: 0.9990 - val_loss: 0.0370 - val_acc: 0.9798\n",
            "Epoch 1716/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0160 - acc: 0.9949 - val_loss: 0.0359 - val_acc: 0.9798\n",
            "Epoch 1717/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0149 - acc: 0.9949 - val_loss: 0.0397 - val_acc: 0.9798\n",
            "Epoch 1718/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0142 - acc: 0.9939 - val_loss: 0.0424 - val_acc: 0.9798\n",
            "Epoch 1719/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0138 - acc: 0.9970 - val_loss: 0.0413 - val_acc: 0.9798\n",
            "Epoch 1720/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0085 - acc: 0.9990 - val_loss: 0.0406 - val_acc: 0.9798\n",
            "Epoch 1721/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0077 - acc: 0.9990 - val_loss: 0.0391 - val_acc: 0.9838\n",
            "Epoch 1722/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0118 - acc: 0.9970 - val_loss: 0.0379 - val_acc: 0.9838\n",
            "Epoch 1723/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0147 - acc: 0.9959 - val_loss: 0.0346 - val_acc: 0.9838\n",
            "Epoch 1724/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0073 - acc: 0.9980 - val_loss: 0.0351 - val_acc: 0.9838\n",
            "Epoch 1725/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0111 - acc: 0.9990 - val_loss: 0.0353 - val_acc: 0.9838\n",
            "Epoch 1726/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0108 - acc: 0.9970 - val_loss: 0.0325 - val_acc: 0.9838\n",
            "Epoch 1727/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0110 - acc: 0.9959 - val_loss: 0.0298 - val_acc: 0.9838\n",
            "Epoch 1728/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0078 - acc: 1.0000 - val_loss: 0.0291 - val_acc: 0.9838\n",
            "Epoch 1729/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0085 - acc: 0.9990 - val_loss: 0.0299 - val_acc: 0.9838\n",
            "Epoch 1730/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0101 - acc: 0.9980 - val_loss: 0.0318 - val_acc: 0.9838\n",
            "Epoch 1731/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0185 - acc: 0.9959 - val_loss: 0.0320 - val_acc: 0.9838\n",
            "Epoch 1732/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0103 - acc: 0.9980 - val_loss: 0.0301 - val_acc: 0.9838\n",
            "Epoch 1733/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0162 - acc: 0.9959 - val_loss: 0.0315 - val_acc: 0.9838\n",
            "Epoch 1734/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0136 - acc: 0.9959 - val_loss: 0.0302 - val_acc: 0.9879\n",
            "Epoch 1735/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0077 - acc: 1.0000 - val_loss: 0.0298 - val_acc: 0.9879\n",
            "Epoch 1736/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0125 - acc: 0.9970 - val_loss: 0.0314 - val_acc: 0.9838\n",
            "Epoch 1737/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0082 - acc: 1.0000 - val_loss: 0.0337 - val_acc: 0.9838\n",
            "Epoch 1738/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0127 - acc: 0.9980 - val_loss: 0.0341 - val_acc: 0.9798\n",
            "Epoch 1739/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0114 - acc: 0.9990 - val_loss: 0.0356 - val_acc: 0.9838\n",
            "Epoch 1740/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0140 - acc: 0.9939 - val_loss: 0.0330 - val_acc: 0.9879\n",
            "Epoch 1741/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0109 - acc: 0.9990 - val_loss: 0.0323 - val_acc: 0.9879\n",
            "Epoch 1742/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0076 - acc: 1.0000 - val_loss: 0.0298 - val_acc: 0.9879\n",
            "Epoch 1743/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0139 - acc: 0.9949 - val_loss: 0.0328 - val_acc: 0.9879\n",
            "Epoch 1744/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0085 - acc: 0.9980 - val_loss: 0.0373 - val_acc: 0.9838\n",
            "Epoch 1745/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0126 - acc: 0.9970 - val_loss: 0.0374 - val_acc: 0.9798\n",
            "Epoch 1746/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0099 - acc: 0.9990 - val_loss: 0.0378 - val_acc: 0.9798\n",
            "Epoch 1747/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0098 - acc: 0.9980 - val_loss: 0.0372 - val_acc: 0.9798\n",
            "Epoch 1748/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0124 - acc: 0.9980 - val_loss: 0.0367 - val_acc: 0.9798\n",
            "Epoch 1749/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0165 - acc: 0.9949 - val_loss: 0.0369 - val_acc: 0.9798\n",
            "Epoch 1750/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0099 - acc: 0.9980 - val_loss: 0.0376 - val_acc: 0.9798\n",
            "Epoch 1751/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0083 - acc: 0.9990 - val_loss: 0.0375 - val_acc: 0.9798\n",
            "Epoch 1752/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0112 - acc: 0.9959 - val_loss: 0.0367 - val_acc: 0.9798\n",
            "Epoch 1753/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0119 - acc: 1.0000 - val_loss: 0.0352 - val_acc: 0.9798\n",
            "Epoch 1754/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0089 - acc: 0.9990 - val_loss: 0.0343 - val_acc: 0.9838\n",
            "Epoch 1755/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0155 - acc: 0.9980 - val_loss: 0.0349 - val_acc: 0.9838\n",
            "Epoch 1756/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0104 - acc: 0.9980 - val_loss: 0.0356 - val_acc: 0.9838\n",
            "Epoch 1757/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0086 - acc: 0.9970 - val_loss: 0.0367 - val_acc: 0.9838\n",
            "Epoch 1758/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0083 - acc: 0.9980 - val_loss: 0.0360 - val_acc: 0.9838\n",
            "Epoch 1759/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0162 - acc: 0.9959 - val_loss: 0.0347 - val_acc: 0.9838\n",
            "Epoch 1760/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0076 - acc: 0.9990 - val_loss: 0.0334 - val_acc: 0.9838\n",
            "Epoch 1761/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0135 - acc: 0.9970 - val_loss: 0.0332 - val_acc: 0.9838\n",
            "Epoch 1762/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0104 - acc: 0.9980 - val_loss: 0.0333 - val_acc: 0.9838\n",
            "Epoch 1763/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0209 - acc: 0.9939 - val_loss: 0.0332 - val_acc: 0.9838\n",
            "Epoch 1764/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0113 - acc: 0.9980 - val_loss: 0.0315 - val_acc: 0.9838\n",
            "Epoch 1765/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0077 - acc: 0.9990 - val_loss: 0.0313 - val_acc: 0.9838\n",
            "Epoch 1766/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0089 - acc: 0.9980 - val_loss: 0.0333 - val_acc: 0.9838\n",
            "Epoch 1767/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0095 - acc: 0.9990 - val_loss: 0.0352 - val_acc: 0.9838\n",
            "Epoch 1768/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0108 - acc: 0.9980 - val_loss: 0.0368 - val_acc: 0.9838\n",
            "Epoch 1769/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0161 - acc: 0.9939 - val_loss: 0.0359 - val_acc: 0.9838\n",
            "Epoch 1770/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0083 - acc: 1.0000 - val_loss: 0.0347 - val_acc: 0.9838\n",
            "Epoch 1771/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0085 - acc: 0.9990 - val_loss: 0.0353 - val_acc: 0.9798\n",
            "Epoch 1772/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0128 - acc: 0.9970 - val_loss: 0.0359 - val_acc: 0.9798\n",
            "Epoch 1773/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0108 - acc: 0.9990 - val_loss: 0.0345 - val_acc: 0.9879\n",
            "Epoch 1774/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0089 - acc: 0.9980 - val_loss: 0.0341 - val_acc: 0.9879\n",
            "Epoch 1775/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0075 - acc: 1.0000 - val_loss: 0.0321 - val_acc: 0.9879\n",
            "Epoch 1776/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0107 - acc: 0.9970 - val_loss: 0.0317 - val_acc: 0.9879\n",
            "Epoch 1777/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0094 - acc: 0.9980 - val_loss: 0.0305 - val_acc: 0.9879\n",
            "Epoch 1778/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0104 - acc: 0.9980 - val_loss: 0.0313 - val_acc: 0.9838\n",
            "Epoch 1779/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0123 - acc: 0.9980 - val_loss: 0.0331 - val_acc: 0.9838\n",
            "Epoch 1780/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0106 - acc: 0.9970 - val_loss: 0.0344 - val_acc: 0.9838\n",
            "Epoch 1781/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0092 - acc: 0.9980 - val_loss: 0.0353 - val_acc: 0.9798\n",
            "Epoch 1782/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0126 - acc: 0.9970 - val_loss: 0.0351 - val_acc: 0.9798\n",
            "Epoch 1783/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0085 - acc: 0.9990 - val_loss: 0.0326 - val_acc: 0.9879\n",
            "Epoch 1784/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0062 - acc: 0.9980 - val_loss: 0.0320 - val_acc: 0.9879\n",
            "Epoch 1785/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0082 - acc: 0.9990 - val_loss: 0.0322 - val_acc: 0.9838\n",
            "Epoch 1786/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0167 - acc: 0.9949 - val_loss: 0.0323 - val_acc: 0.9838\n",
            "Epoch 1787/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0101 - acc: 0.9980 - val_loss: 0.0335 - val_acc: 0.9838\n",
            "Epoch 1788/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0107 - acc: 0.9970 - val_loss: 0.0347 - val_acc: 0.9798\n",
            "Epoch 1789/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0090 - acc: 0.9980 - val_loss: 0.0332 - val_acc: 0.9879\n",
            "Epoch 1790/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0122 - acc: 0.9959 - val_loss: 0.0301 - val_acc: 0.9879\n",
            "Epoch 1791/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0089 - acc: 0.9990 - val_loss: 0.0267 - val_acc: 0.9919\n",
            "Epoch 1792/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0064 - acc: 1.0000 - val_loss: 0.0257 - val_acc: 0.9919\n",
            "Epoch 1793/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0108 - acc: 0.9980 - val_loss: 0.0268 - val_acc: 0.9919\n",
            "Epoch 1794/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0092 - acc: 0.9980 - val_loss: 0.0296 - val_acc: 0.9879\n",
            "Epoch 1795/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0221 - acc: 0.9919 - val_loss: 0.0285 - val_acc: 0.9919\n",
            "Epoch 1796/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0107 - acc: 0.9959 - val_loss: 0.0279 - val_acc: 0.9879\n",
            "Epoch 1797/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0097 - acc: 0.9980 - val_loss: 0.0330 - val_acc: 0.9838\n",
            "Epoch 1798/2000\n",
            "984/984 [==============================] - 0s 61us/step - loss: 0.0081 - acc: 0.9980 - val_loss: 0.0358 - val_acc: 0.9838\n",
            "Epoch 1799/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0103 - acc: 0.9980 - val_loss: 0.0352 - val_acc: 0.9879\n",
            "Epoch 1800/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0078 - acc: 0.9990 - val_loss: 0.0342 - val_acc: 0.9879\n",
            "Epoch 1801/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0066 - acc: 1.0000 - val_loss: 0.0324 - val_acc: 0.9879\n",
            "Epoch 1802/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0102 - acc: 0.9980 - val_loss: 0.0313 - val_acc: 0.9879\n",
            "Epoch 1803/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0092 - acc: 0.9980 - val_loss: 0.0304 - val_acc: 0.9879\n",
            "Epoch 1804/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0118 - acc: 0.9970 - val_loss: 0.0289 - val_acc: 0.9919\n",
            "Epoch 1805/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0067 - acc: 0.9990 - val_loss: 0.0271 - val_acc: 0.9919\n",
            "Epoch 1806/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0123 - acc: 0.9959 - val_loss: 0.0260 - val_acc: 0.9919\n",
            "Epoch 1807/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0082 - acc: 0.9980 - val_loss: 0.0269 - val_acc: 0.9919\n",
            "Epoch 1808/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0080 - acc: 1.0000 - val_loss: 0.0298 - val_acc: 0.9919\n",
            "Epoch 1809/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0110 - acc: 0.9970 - val_loss: 0.0302 - val_acc: 0.9919\n",
            "Epoch 1810/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0089 - acc: 0.9990 - val_loss: 0.0305 - val_acc: 0.9919\n",
            "Epoch 1811/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0072 - acc: 1.0000 - val_loss: 0.0317 - val_acc: 0.9879\n",
            "Epoch 1812/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0114 - acc: 0.9980 - val_loss: 0.0316 - val_acc: 0.9838\n",
            "Epoch 1813/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0130 - acc: 0.9970 - val_loss: 0.0299 - val_acc: 0.9838\n",
            "Epoch 1814/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0117 - acc: 0.9980 - val_loss: 0.0300 - val_acc: 0.9838\n",
            "Epoch 1815/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0095 - acc: 0.9970 - val_loss: 0.0302 - val_acc: 0.9879\n",
            "Epoch 1816/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0089 - acc: 0.9980 - val_loss: 0.0287 - val_acc: 0.9919\n",
            "Epoch 1817/2000\n",
            "984/984 [==============================] - 0s 68us/step - loss: 0.0105 - acc: 0.9990 - val_loss: 0.0315 - val_acc: 0.9838\n",
            "Epoch 1818/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0096 - acc: 0.9970 - val_loss: 0.0321 - val_acc: 0.9838\n",
            "Epoch 1819/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0093 - acc: 0.9990 - val_loss: 0.0333 - val_acc: 0.9798\n",
            "Epoch 1820/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0110 - acc: 0.9990 - val_loss: 0.0344 - val_acc: 0.9838\n",
            "Epoch 1821/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0118 - acc: 0.9970 - val_loss: 0.0342 - val_acc: 0.9838\n",
            "Epoch 1822/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0081 - acc: 0.9990 - val_loss: 0.0335 - val_acc: 0.9838\n",
            "Epoch 1823/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0103 - acc: 0.9990 - val_loss: 0.0321 - val_acc: 0.9838\n",
            "Epoch 1824/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0081 - acc: 1.0000 - val_loss: 0.0320 - val_acc: 0.9838\n",
            "Epoch 1825/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0105 - acc: 0.9970 - val_loss: 0.0335 - val_acc: 0.9838\n",
            "Epoch 1826/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0103 - acc: 0.9970 - val_loss: 0.0392 - val_acc: 0.9838\n",
            "Epoch 1827/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0086 - acc: 0.9970 - val_loss: 0.0421 - val_acc: 0.9798\n",
            "Epoch 1828/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0104 - acc: 0.9959 - val_loss: 0.0400 - val_acc: 0.9838\n",
            "Epoch 1829/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0136 - acc: 0.9949 - val_loss: 0.0394 - val_acc: 0.9798\n",
            "Epoch 1830/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0086 - acc: 0.9970 - val_loss: 0.0363 - val_acc: 0.9798\n",
            "Epoch 1831/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0088 - acc: 1.0000 - val_loss: 0.0353 - val_acc: 0.9798\n",
            "Epoch 1832/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0085 - acc: 1.0000 - val_loss: 0.0353 - val_acc: 0.9798\n",
            "Epoch 1833/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0092 - acc: 0.9990 - val_loss: 0.0326 - val_acc: 0.9838\n",
            "Epoch 1834/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0120 - acc: 0.9949 - val_loss: 0.0286 - val_acc: 0.9879\n",
            "Epoch 1835/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0091 - acc: 0.9990 - val_loss: 0.0270 - val_acc: 0.9919\n",
            "Epoch 1836/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0107 - acc: 0.9980 - val_loss: 0.0258 - val_acc: 0.9919\n",
            "Epoch 1837/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0065 - acc: 1.0000 - val_loss: 0.0269 - val_acc: 0.9919\n",
            "Epoch 1838/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0113 - acc: 0.9970 - val_loss: 0.0281 - val_acc: 0.9879\n",
            "Epoch 1839/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0088 - acc: 0.9980 - val_loss: 0.0276 - val_acc: 0.9879\n",
            "Epoch 1840/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0085 - acc: 1.0000 - val_loss: 0.0270 - val_acc: 0.9879\n",
            "Epoch 1841/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0071 - acc: 1.0000 - val_loss: 0.0277 - val_acc: 0.9879\n",
            "Epoch 1842/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0114 - acc: 0.9980 - val_loss: 0.0300 - val_acc: 0.9879\n",
            "Epoch 1843/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0102 - acc: 0.9980 - val_loss: 0.0321 - val_acc: 0.9838\n",
            "Epoch 1844/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0100 - acc: 0.9970 - val_loss: 0.0334 - val_acc: 0.9798\n",
            "Epoch 1845/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0062 - acc: 1.0000 - val_loss: 0.0347 - val_acc: 0.9798\n",
            "Epoch 1846/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0083 - acc: 0.9990 - val_loss: 0.0357 - val_acc: 0.9798\n",
            "Epoch 1847/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0061 - acc: 0.9990 - val_loss: 0.0338 - val_acc: 0.9838\n",
            "Epoch 1848/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0100 - acc: 0.9980 - val_loss: 0.0311 - val_acc: 0.9838\n",
            "Epoch 1849/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0056 - acc: 1.0000 - val_loss: 0.0272 - val_acc: 0.9838\n",
            "Epoch 1850/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0091 - acc: 0.9980 - val_loss: 0.0252 - val_acc: 0.9838\n",
            "Epoch 1851/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0086 - acc: 0.9970 - val_loss: 0.0262 - val_acc: 0.9838\n",
            "Epoch 1852/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0105 - acc: 0.9980 - val_loss: 0.0287 - val_acc: 0.9798\n",
            "Epoch 1853/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0103 - acc: 1.0000 - val_loss: 0.0305 - val_acc: 0.9838\n",
            "Epoch 1854/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0106 - acc: 0.9970 - val_loss: 0.0295 - val_acc: 0.9798\n",
            "Epoch 1855/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0108 - acc: 0.9970 - val_loss: 0.0301 - val_acc: 0.9838\n",
            "Epoch 1856/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0128 - acc: 0.9959 - val_loss: 0.0334 - val_acc: 0.9838\n",
            "Epoch 1857/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0129 - acc: 0.9949 - val_loss: 0.0342 - val_acc: 0.9838\n",
            "Epoch 1858/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0097 - acc: 0.9980 - val_loss: 0.0359 - val_acc: 0.9838\n",
            "Epoch 1859/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0092 - acc: 0.9980 - val_loss: 0.0378 - val_acc: 0.9838\n",
            "Epoch 1860/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0076 - acc: 0.9980 - val_loss: 0.0375 - val_acc: 0.9838\n",
            "Epoch 1861/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0141 - acc: 0.9970 - val_loss: 0.0351 - val_acc: 0.9838\n",
            "Epoch 1862/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0069 - acc: 1.0000 - val_loss: 0.0331 - val_acc: 0.9879\n",
            "Epoch 1863/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0136 - acc: 0.9959 - val_loss: 0.0309 - val_acc: 0.9879\n",
            "Epoch 1864/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0077 - acc: 0.9990 - val_loss: 0.0329 - val_acc: 0.9838\n",
            "Epoch 1865/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0087 - acc: 0.9980 - val_loss: 0.0354 - val_acc: 0.9798\n",
            "Epoch 1866/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0072 - acc: 0.9990 - val_loss: 0.0359 - val_acc: 0.9798\n",
            "Epoch 1867/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0105 - acc: 0.9980 - val_loss: 0.0356 - val_acc: 0.9798\n",
            "Epoch 1868/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0130 - acc: 0.9959 - val_loss: 0.0392 - val_acc: 0.9798\n",
            "Epoch 1869/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0092 - acc: 0.9990 - val_loss: 0.0416 - val_acc: 0.9798\n",
            "Epoch 1870/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0089 - acc: 0.9990 - val_loss: 0.0407 - val_acc: 0.9798\n",
            "Epoch 1871/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0126 - acc: 0.9970 - val_loss: 0.0377 - val_acc: 0.9798\n",
            "Epoch 1872/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0121 - acc: 0.9970 - val_loss: 0.0360 - val_acc: 0.9798\n",
            "Epoch 1873/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0062 - acc: 1.0000 - val_loss: 0.0342 - val_acc: 0.9879\n",
            "Epoch 1874/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0104 - acc: 0.9970 - val_loss: 0.0345 - val_acc: 0.9879\n",
            "Epoch 1875/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0092 - acc: 0.9970 - val_loss: 0.0347 - val_acc: 0.9879\n",
            "Epoch 1876/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0093 - acc: 0.9959 - val_loss: 0.0346 - val_acc: 0.9879\n",
            "Epoch 1877/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0107 - acc: 0.9980 - val_loss: 0.0367 - val_acc: 0.9838\n",
            "Epoch 1878/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0090 - acc: 0.9970 - val_loss: 0.0364 - val_acc: 0.9838\n",
            "Epoch 1879/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0086 - acc: 0.9970 - val_loss: 0.0377 - val_acc: 0.9838\n",
            "Epoch 1880/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0136 - acc: 0.9980 - val_loss: 0.0371 - val_acc: 0.9838\n",
            "Epoch 1881/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0106 - acc: 0.9970 - val_loss: 0.0373 - val_acc: 0.9838\n",
            "Epoch 1882/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0113 - acc: 0.9970 - val_loss: 0.0347 - val_acc: 0.9838\n",
            "Epoch 1883/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0087 - acc: 0.9980 - val_loss: 0.0342 - val_acc: 0.9838\n",
            "Epoch 1884/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0053 - acc: 1.0000 - val_loss: 0.0341 - val_acc: 0.9838\n",
            "Epoch 1885/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0110 - acc: 0.9949 - val_loss: 0.0338 - val_acc: 0.9798\n",
            "Epoch 1886/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0105 - acc: 0.9970 - val_loss: 0.0331 - val_acc: 0.9838\n",
            "Epoch 1887/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0178 - acc: 0.9939 - val_loss: 0.0322 - val_acc: 0.9838\n",
            "Epoch 1888/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0136 - acc: 0.9970 - val_loss: 0.0317 - val_acc: 0.9838\n",
            "Epoch 1889/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0103 - acc: 0.9980 - val_loss: 0.0330 - val_acc: 0.9838\n",
            "Epoch 1890/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0061 - acc: 1.0000 - val_loss: 0.0336 - val_acc: 0.9838\n",
            "Epoch 1891/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0120 - acc: 0.9959 - val_loss: 0.0355 - val_acc: 0.9798\n",
            "Epoch 1892/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0055 - acc: 1.0000 - val_loss: 0.0371 - val_acc: 0.9798\n",
            "Epoch 1893/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0077 - acc: 0.9980 - val_loss: 0.0361 - val_acc: 0.9838\n",
            "Epoch 1894/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0079 - acc: 0.9980 - val_loss: 0.0362 - val_acc: 0.9838\n",
            "Epoch 1895/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0070 - acc: 0.9990 - val_loss: 0.0352 - val_acc: 0.9838\n",
            "Epoch 1896/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0105 - acc: 0.9970 - val_loss: 0.0338 - val_acc: 0.9838\n",
            "Epoch 1897/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0072 - acc: 0.9990 - val_loss: 0.0330 - val_acc: 0.9838\n",
            "Epoch 1898/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0072 - acc: 1.0000 - val_loss: 0.0321 - val_acc: 0.9798\n",
            "Epoch 1899/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0060 - acc: 1.0000 - val_loss: 0.0331 - val_acc: 0.9798\n",
            "Epoch 1900/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0080 - acc: 0.9990 - val_loss: 0.0361 - val_acc: 0.9798\n",
            "Epoch 1901/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0114 - acc: 0.9980 - val_loss: 0.0364 - val_acc: 0.9798\n",
            "Epoch 1902/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0098 - acc: 0.9970 - val_loss: 0.0329 - val_acc: 0.9838\n",
            "Epoch 1903/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0077 - acc: 1.0000 - val_loss: 0.0295 - val_acc: 0.9838\n",
            "Epoch 1904/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0098 - acc: 0.9970 - val_loss: 0.0272 - val_acc: 0.9879\n",
            "Epoch 1905/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0084 - acc: 0.9990 - val_loss: 0.0276 - val_acc: 0.9919\n",
            "Epoch 1906/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0079 - acc: 0.9990 - val_loss: 0.0308 - val_acc: 0.9879\n",
            "Epoch 1907/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0082 - acc: 0.9980 - val_loss: 0.0329 - val_acc: 0.9838\n",
            "Epoch 1908/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0129 - acc: 0.9970 - val_loss: 0.0322 - val_acc: 0.9838\n",
            "Epoch 1909/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0072 - acc: 0.9990 - val_loss: 0.0312 - val_acc: 0.9879\n",
            "Epoch 1910/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0102 - acc: 0.9959 - val_loss: 0.0299 - val_acc: 0.9919\n",
            "Epoch 1911/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0102 - acc: 0.9980 - val_loss: 0.0287 - val_acc: 0.9919\n",
            "Epoch 1912/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0089 - acc: 0.9990 - val_loss: 0.0289 - val_acc: 0.9919\n",
            "Epoch 1913/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0087 - acc: 0.9990 - val_loss: 0.0309 - val_acc: 0.9919\n",
            "Epoch 1914/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0056 - acc: 0.9990 - val_loss: 0.0327 - val_acc: 0.9919\n",
            "Epoch 1915/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0088 - acc: 0.9980 - val_loss: 0.0345 - val_acc: 0.9879\n",
            "Epoch 1916/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0101 - acc: 0.9980 - val_loss: 0.0348 - val_acc: 0.9879\n",
            "Epoch 1917/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0086 - acc: 0.9980 - val_loss: 0.0333 - val_acc: 0.9879\n",
            "Epoch 1918/2000\n",
            "984/984 [==============================] - 0s 65us/step - loss: 0.0087 - acc: 0.9990 - val_loss: 0.0329 - val_acc: 0.9919\n",
            "Epoch 1919/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0097 - acc: 0.9970 - val_loss: 0.0313 - val_acc: 0.9879\n",
            "Epoch 1920/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0065 - acc: 0.9980 - val_loss: 0.0304 - val_acc: 0.9879\n",
            "Epoch 1921/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0118 - acc: 0.9980 - val_loss: 0.0302 - val_acc: 0.9919\n",
            "Epoch 1922/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0148 - acc: 0.9949 - val_loss: 0.0317 - val_acc: 0.9919\n",
            "Epoch 1923/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0065 - acc: 0.9980 - val_loss: 0.0339 - val_acc: 0.9919\n",
            "Epoch 1924/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0113 - acc: 0.9970 - val_loss: 0.0361 - val_acc: 0.9879\n",
            "Epoch 1925/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0056 - acc: 0.9990 - val_loss: 0.0376 - val_acc: 0.9879\n",
            "Epoch 1926/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0116 - acc: 0.9970 - val_loss: 0.0350 - val_acc: 0.9879\n",
            "Epoch 1927/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0115 - acc: 0.9970 - val_loss: 0.0312 - val_acc: 0.9919\n",
            "Epoch 1928/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0079 - acc: 0.9980 - val_loss: 0.0292 - val_acc: 0.9919\n",
            "Epoch 1929/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0069 - acc: 1.0000 - val_loss: 0.0292 - val_acc: 0.9879\n",
            "Epoch 1930/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0075 - acc: 0.9980 - val_loss: 0.0292 - val_acc: 0.9879\n",
            "Epoch 1931/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0067 - acc: 0.9990 - val_loss: 0.0294 - val_acc: 0.9879\n",
            "Epoch 1932/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0103 - acc: 0.9970 - val_loss: 0.0305 - val_acc: 0.9879\n",
            "Epoch 1933/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0078 - acc: 0.9980 - val_loss: 0.0329 - val_acc: 0.9879\n",
            "Epoch 1934/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0064 - acc: 1.0000 - val_loss: 0.0345 - val_acc: 0.9879\n",
            "Epoch 1935/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0077 - acc: 0.9990 - val_loss: 0.0341 - val_acc: 0.9879\n",
            "Epoch 1936/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0094 - acc: 0.9970 - val_loss: 0.0345 - val_acc: 0.9879\n",
            "Epoch 1937/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0065 - acc: 0.9980 - val_loss: 0.0344 - val_acc: 0.9919\n",
            "Epoch 1938/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0078 - acc: 1.0000 - val_loss: 0.0339 - val_acc: 0.9919\n",
            "Epoch 1939/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0061 - acc: 1.0000 - val_loss: 0.0338 - val_acc: 0.9879\n",
            "Epoch 1940/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0073 - acc: 0.9980 - val_loss: 0.0326 - val_acc: 0.9879\n",
            "Epoch 1941/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0096 - acc: 0.9959 - val_loss: 0.0319 - val_acc: 0.9879\n",
            "Epoch 1942/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0074 - acc: 0.9980 - val_loss: 0.0312 - val_acc: 0.9919\n",
            "Epoch 1943/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0120 - acc: 0.9959 - val_loss: 0.0308 - val_acc: 0.9879\n",
            "Epoch 1944/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0077 - acc: 0.9970 - val_loss: 0.0309 - val_acc: 0.9838\n",
            "Epoch 1945/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0099 - acc: 0.9970 - val_loss: 0.0302 - val_acc: 0.9879\n",
            "Epoch 1946/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0079 - acc: 0.9980 - val_loss: 0.0304 - val_acc: 0.9879\n",
            "Epoch 1947/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0104 - acc: 0.9970 - val_loss: 0.0320 - val_acc: 0.9919\n",
            "Epoch 1948/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0094 - acc: 0.9980 - val_loss: 0.0300 - val_acc: 0.9919\n",
            "Epoch 1949/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0071 - acc: 0.9990 - val_loss: 0.0279 - val_acc: 0.9919\n",
            "Epoch 1950/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0103 - acc: 0.9970 - val_loss: 0.0268 - val_acc: 0.9919\n",
            "Epoch 1951/2000\n",
            "984/984 [==============================] - 0s 58us/step - loss: 0.0130 - acc: 0.9970 - val_loss: 0.0279 - val_acc: 0.9919\n",
            "Epoch 1952/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0101 - acc: 0.9970 - val_loss: 0.0294 - val_acc: 0.9879\n",
            "Epoch 1953/2000\n",
            "984/984 [==============================] - 0s 56us/step - loss: 0.0099 - acc: 0.9970 - val_loss: 0.0324 - val_acc: 0.9838\n",
            "Epoch 1954/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0114 - acc: 0.9980 - val_loss: 0.0342 - val_acc: 0.9838\n",
            "Epoch 1955/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0155 - acc: 0.9939 - val_loss: 0.0353 - val_acc: 0.9798\n",
            "Epoch 1956/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0075 - acc: 0.9990 - val_loss: 0.0389 - val_acc: 0.9798\n",
            "Epoch 1957/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0075 - acc: 0.9970 - val_loss: 0.0408 - val_acc: 0.9798\n",
            "Epoch 1958/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0085 - acc: 1.0000 - val_loss: 0.0411 - val_acc: 0.9798\n",
            "Epoch 1959/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0099 - acc: 0.9980 - val_loss: 0.0378 - val_acc: 0.9798\n",
            "Epoch 1960/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0122 - acc: 0.9980 - val_loss: 0.0342 - val_acc: 0.9798\n",
            "Epoch 1961/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0098 - acc: 0.9970 - val_loss: 0.0326 - val_acc: 0.9798\n",
            "Epoch 1962/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0067 - acc: 0.9990 - val_loss: 0.0313 - val_acc: 0.9838\n",
            "Epoch 1963/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0100 - acc: 0.9959 - val_loss: 0.0323 - val_acc: 0.9838\n",
            "Epoch 1964/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0115 - acc: 0.9980 - val_loss: 0.0320 - val_acc: 0.9838\n",
            "Epoch 1965/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0089 - acc: 0.9970 - val_loss: 0.0324 - val_acc: 0.9838\n",
            "Epoch 1966/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0093 - acc: 0.9980 - val_loss: 0.0337 - val_acc: 0.9838\n",
            "Epoch 1967/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0104 - acc: 0.9959 - val_loss: 0.0329 - val_acc: 0.9838\n",
            "Epoch 1968/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0053 - acc: 1.0000 - val_loss: 0.0306 - val_acc: 0.9879\n",
            "Epoch 1969/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0124 - acc: 0.9959 - val_loss: 0.0290 - val_acc: 0.9879\n",
            "Epoch 1970/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0080 - acc: 0.9970 - val_loss: 0.0291 - val_acc: 0.9879\n",
            "Epoch 1971/2000\n",
            "984/984 [==============================] - 0s 46us/step - loss: 0.0088 - acc: 0.9980 - val_loss: 0.0282 - val_acc: 0.9879\n",
            "Epoch 1972/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0078 - acc: 0.9990 - val_loss: 0.0269 - val_acc: 0.9879\n",
            "Epoch 1973/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0104 - acc: 0.9970 - val_loss: 0.0271 - val_acc: 0.9879\n",
            "Epoch 1974/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0052 - acc: 0.9990 - val_loss: 0.0291 - val_acc: 0.9838\n",
            "Epoch 1975/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0065 - acc: 0.9990 - val_loss: 0.0310 - val_acc: 0.9838\n",
            "Epoch 1976/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0108 - acc: 0.9959 - val_loss: 0.0312 - val_acc: 0.9838\n",
            "Epoch 1977/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0090 - acc: 0.9990 - val_loss: 0.0316 - val_acc: 0.9838\n",
            "Epoch 1978/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0086 - acc: 0.9980 - val_loss: 0.0308 - val_acc: 0.9838\n",
            "Epoch 1979/2000\n",
            "984/984 [==============================] - 0s 50us/step - loss: 0.0063 - acc: 0.9980 - val_loss: 0.0303 - val_acc: 0.9838\n",
            "Epoch 1980/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0065 - acc: 0.9980 - val_loss: 0.0312 - val_acc: 0.9838\n",
            "Epoch 1981/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0050 - acc: 1.0000 - val_loss: 0.0318 - val_acc: 0.9838\n",
            "Epoch 1982/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0064 - acc: 1.0000 - val_loss: 0.0328 - val_acc: 0.9838\n",
            "Epoch 1983/2000\n",
            "984/984 [==============================] - 0s 62us/step - loss: 0.0061 - acc: 0.9990 - val_loss: 0.0334 - val_acc: 0.9838\n",
            "Epoch 1984/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0056 - acc: 0.9990 - val_loss: 0.0327 - val_acc: 0.9838\n",
            "Epoch 1985/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0111 - acc: 0.9980 - val_loss: 0.0299 - val_acc: 0.9838\n",
            "Epoch 1986/2000\n",
            "984/984 [==============================] - 0s 57us/step - loss: 0.0088 - acc: 0.9970 - val_loss: 0.0286 - val_acc: 0.9879\n",
            "Epoch 1987/2000\n",
            "984/984 [==============================] - 0s 55us/step - loss: 0.0075 - acc: 0.9970 - val_loss: 0.0275 - val_acc: 0.9879\n",
            "Epoch 1988/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0072 - acc: 0.9990 - val_loss: 0.0290 - val_acc: 0.9838\n",
            "Epoch 1989/2000\n",
            "984/984 [==============================] - 0s 64us/step - loss: 0.0066 - acc: 1.0000 - val_loss: 0.0309 - val_acc: 0.9838\n",
            "Epoch 1990/2000\n",
            "984/984 [==============================] - 0s 59us/step - loss: 0.0057 - acc: 0.9990 - val_loss: 0.0325 - val_acc: 0.9838\n",
            "Epoch 1991/2000\n",
            "984/984 [==============================] - 0s 60us/step - loss: 0.0079 - acc: 0.9990 - val_loss: 0.0328 - val_acc: 0.9838\n",
            "Epoch 1992/2000\n",
            "984/984 [==============================] - 0s 52us/step - loss: 0.0081 - acc: 0.9959 - val_loss: 0.0326 - val_acc: 0.9798\n",
            "Epoch 1993/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0054 - acc: 0.9990 - val_loss: 0.0314 - val_acc: 0.9798\n",
            "Epoch 1994/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0047 - acc: 1.0000 - val_loss: 0.0296 - val_acc: 0.9798\n",
            "Epoch 1995/2000\n",
            "984/984 [==============================] - 0s 48us/step - loss: 0.0088 - acc: 0.9959 - val_loss: 0.0272 - val_acc: 0.9838\n",
            "Epoch 1996/2000\n",
            "984/984 [==============================] - 0s 47us/step - loss: 0.0096 - acc: 0.9970 - val_loss: 0.0276 - val_acc: 0.9879\n",
            "Epoch 1997/2000\n",
            "984/984 [==============================] - 0s 51us/step - loss: 0.0090 - acc: 0.9970 - val_loss: 0.0279 - val_acc: 0.9838\n",
            "Epoch 1998/2000\n",
            "984/984 [==============================] - 0s 54us/step - loss: 0.0121 - acc: 0.9959 - val_loss: 0.0274 - val_acc: 0.9838\n",
            "Epoch 1999/2000\n",
            "984/984 [==============================] - 0s 49us/step - loss: 0.0055 - acc: 0.9990 - val_loss: 0.0278 - val_acc: 0.9919\n",
            "Epoch 2000/2000\n",
            "984/984 [==============================] - 0s 53us/step - loss: 0.0102 - acc: 0.9970 - val_loss: 0.0311 - val_acc: 0.9838\n",
            "Test loss: 0.03111356141626352\n",
            "Test accuracy: 0.9838056689814517\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KsMkvf0zpZC6",
        "colab_type": "code",
        "outputId": "89f048c1-4480-460a-af46-4ae23a8e5191",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 384
        }
      },
      "source": [
        "model.save('models/dense.h5')\n",
        "\n",
        "loaded_model = load_model('models/dense.h5')\n",
        "score = loaded_model.evaluate(emdTestX_norm, y_test, verbose=0)\n",
        "print('Test loss:', score[0])\n",
        "print('Test accuracy:', score[1])\n",
        "loaded_model.summary()\n"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Test loss: 0.03111356141626352\n",
            "Test accuracy: 0.9838056689814517\n",
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_4 (Dense)              (None, 512)               66048     \n",
            "_________________________________________________________________\n",
            "dropout_3 (Dropout)          (None, 512)               0         \n",
            "_________________________________________________________________\n",
            "dense_5 (Dense)              (None, 256)               131328    \n",
            "_________________________________________________________________\n",
            "dropout_4 (Dropout)          (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "dense_6 (Dense)              (None, 5)                 1285      \n",
            "=================================================================\n",
            "Total params: 198,661\n",
            "Trainable params: 198,661\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v5rpKMZUvCxd",
        "colab_type": "code",
        "outputId": "32db4342-64a5-4462-feda-937956c2a845",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        }
      },
      "source": [
        "from random import choice\n",
        "# select a random face from test set\n",
        "selection = choice([i for i in range(testX.shape[0])])\n",
        "random_face = testX[selection]\n",
        "random_face_emd = emdTestX_norm[selection]\n",
        "random_face_class = testy_enc[selection]\n",
        "random_face_name = out_encoder.inverse_transform([random_face_class])\n",
        "\n",
        "# prediction for the face\n",
        "samples = np.expand_dims(random_face_emd, axis=0)\n",
        "yhat_class = loaded_model.predict_classes(samples)\n",
        "yhat_prob = loaded_model.predict_proba(samples)\n",
        "\n",
        "class_index = yhat_class[0]\n",
        "class_probability = yhat_prob[0,class_index] * 100\n",
        "predict_names = out_encoder.inverse_transform(yhat_class)\n",
        "\n",
        "plt.imshow(random_face)\n",
        "title = '%s (%.3f)' % (predict_names[0], class_probability)\n",
        "plt.title(title)\n",
        "plt.show()\n"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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FenPIJwBCK48lCn0gfGFfy6F9PbeH1s6jKQZ5SbQ2zcc1C5Dspp32yNYglWwz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\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OKcV0OzFvTjs",
        "colab_type": "code",
        "outputId": "941da647-c720-4dec-96d1-8574710f76e8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 318
        }
      },
      "source": [
        "import cv2\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.preprocessing import Normalizer\n",
        "from sklearn.externals import joblib\n",
        "import numpy as np\n",
        "\n",
        "\n",
        "# DENSE_MODEL LOAD FOR PREDICTION\n",
        "model = load_model('models/dense.h5')\n",
        "in_encoder = Normalizer()\n",
        "out_encoder = LabelEncoder()\n",
        "\n",
        "# Label Encoding\n",
        "labels = np.load('data/face-label.npy',allow_pickle=True)\n",
        "out_encoder.fit(labels)\n",
        "\n",
        "# Read and process image for model\n",
        "face_img = cv2.imread('23214.jpg',1)\n",
        "# face_img = face_img.astype('float32') / 255\n",
        "# rgb_img = cv2.cvtColor(face_img, cv2.COLOR_BGR2RGB)\n",
        "img = cv2.resize(face_img, (128,128))\n",
        "\n",
        "\n",
        "img = np.reshape(img, (1,img.shape[0], img.shape[1], img.shape[2]))\n",
        "img_emd = np.asarray(get_embedding(img)) # converting embedded image to numpy array if needed\n",
        "\n",
        "\n",
        "# Predicting Image\n",
        "img_norm = in_encoder.transform(img_emd)\n",
        "yhat_class = model.predict_classes(img_norm)\n",
        "yhat_prob = model.predict_proba(img_norm)\n",
        "\n",
        "# Reverse Transform to Original label\n",
        "class_index = yhat_class[0]\n",
        "print(class_index)\n",
        "class_probability = yhat_prob[0,class_index] * 100\n",
        "predict_names = out_encoder.inverse_transform(yhat_class)\n",
        "\n",
        "# Showing the prediction of given image \n",
        "plt.imshow(rgb_img)\n",
        "title = '%s (%.3f)' % (predict_names[0], class_probability)\n",
        "plt.title(title)\n",
        "plt.show()\n"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\r1/1 [==============================] - 0s 3ms/step\n",
            "4\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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9OYmGsYnVYjE5wgmyKI2l8Zn3F32OEu8R0JrlIkEWY5fMzRhTrb8qhmha+yKu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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0dlDUAXd66dW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}