DeepDream_in_Keras.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "DeepDream in Keras.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "E8V7Curuk_vi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from tensorflow.keras.applications import inception_v3, resnet50\n",
        "from tensorflow.keras import backend as k\n",
        "from tensorflow.keras.utils import plot_model\n",
        "\n",
        "#this setting disable all training specific operations\n",
        "k.set_learning_phase(0)\n",
        "\n",
        "#load inception_v3\n",
        "model = inception_v3.InceptionV3(weights=\"imagenet\", include_top=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ylHlu_Kik_Bj",
        "colab_type": "code",
        "outputId": "5775739d-6c19-46d1-9380-ac0429072c74",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"inception_v3\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, None, None,  0                                            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d (Conv2D)                 (None, None, None, 3 864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization (BatchNorma (None, None, None, 3 96          conv2d[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "activation (Activation)         (None, None, None, 3 0           batch_normalization[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_1 (Conv2D)               (None, None, None, 3 9216        activation[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_1 (BatchNor (None, None, None, 3 96          conv2d_1[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_1 (Activation)       (None, None, None, 3 0           batch_normalization_1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_2 (Conv2D)               (None, None, None, 6 18432       activation_1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_2 (BatchNor (None, None, None, 6 192         conv2d_2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_2 (Activation)       (None, None, None, 6 0           batch_normalization_2[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d (MaxPooling2D)    (None, None, None, 6 0           activation_2[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_3 (Conv2D)               (None, None, None, 8 5120        max_pooling2d[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_3 (BatchNor (None, None, None, 8 240         conv2d_3[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_3 (Activation)       (None, None, None, 8 0           batch_normalization_3[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_4 (Conv2D)               (None, None, None, 1 138240      activation_3[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_4 (BatchNor (None, None, None, 1 576         conv2d_4[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_4 (Activation)       (None, None, None, 1 0           batch_normalization_4[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2D)  (None, None, None, 1 0           activation_4[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_8 (Conv2D)               (None, None, None, 6 12288       max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_8 (BatchNor (None, None, None, 6 192         conv2d_8[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_8 (Activation)       (None, None, None, 6 0           batch_normalization_8[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_6 (Conv2D)               (None, None, None, 4 9216        max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_9 (Conv2D)               (None, None, None, 9 55296       activation_8[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_6 (BatchNor (None, None, None, 4 144         conv2d_6[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_9 (BatchNor (None, None, None, 9 288         conv2d_9[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_6 (Activation)       (None, None, None, 4 0           batch_normalization_6[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "activation_9 (Activation)       (None, None, None, 9 0           batch_normalization_9[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d (AveragePooli (None, None, None, 1 0           max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_5 (Conv2D)               (None, None, None, 6 12288       max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_7 (Conv2D)               (None, None, None, 6 76800       activation_6[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_10 (Conv2D)              (None, None, None, 9 82944       activation_9[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_11 (Conv2D)              (None, None, None, 3 6144        average_pooling2d[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_5 (BatchNor (None, None, None, 6 192         conv2d_5[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_7 (BatchNor (None, None, None, 6 192         conv2d_7[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_10 (BatchNo (None, None, None, 9 288         conv2d_10[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_11 (BatchNo (None, None, None, 3 96          conv2d_11[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_5 (Activation)       (None, None, None, 6 0           batch_normalization_5[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "activation_7 (Activation)       (None, None, None, 6 0           batch_normalization_7[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "activation_10 (Activation)      (None, None, None, 9 0           batch_normalization_10[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_11 (Activation)      (None, None, None, 3 0           batch_normalization_11[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed0 (Concatenate)            (None, None, None, 2 0           activation_5[0][0]               \n",
            "                                                                 activation_7[0][0]               \n",
            "                                                                 activation_10[0][0]              \n",
            "                                                                 activation_11[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_15 (Conv2D)              (None, None, None, 6 16384       mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_15 (BatchNo (None, None, None, 6 192         conv2d_15[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_15 (Activation)      (None, None, None, 6 0           batch_normalization_15[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_13 (Conv2D)              (None, None, None, 4 12288       mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_16 (Conv2D)              (None, None, None, 9 55296       activation_15[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_13 (BatchNo (None, None, None, 4 144         conv2d_13[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_16 (BatchNo (None, None, None, 9 288         conv2d_16[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_13 (Activation)      (None, None, None, 4 0           batch_normalization_13[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_16 (Activation)      (None, None, None, 9 0           batch_normalization_16[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_1 (AveragePoo (None, None, None, 2 0           mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_12 (Conv2D)              (None, None, None, 6 16384       mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_14 (Conv2D)              (None, None, None, 6 76800       activation_13[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_17 (Conv2D)              (None, None, None, 9 82944       activation_16[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_18 (Conv2D)              (None, None, None, 6 16384       average_pooling2d_1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_12 (BatchNo (None, None, None, 6 192         conv2d_12[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_14 (BatchNo (None, None, None, 6 192         conv2d_14[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_17 (BatchNo (None, None, None, 9 288         conv2d_17[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_18 (BatchNo (None, None, None, 6 192         conv2d_18[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_12 (Activation)      (None, None, None, 6 0           batch_normalization_12[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_14 (Activation)      (None, None, None, 6 0           batch_normalization_14[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_17 (Activation)      (None, None, None, 9 0           batch_normalization_17[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_18 (Activation)      (None, None, None, 6 0           batch_normalization_18[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed1 (Concatenate)            (None, None, None, 2 0           activation_12[0][0]              \n",
            "                                                                 activation_14[0][0]              \n",
            "                                                                 activation_17[0][0]              \n",
            "                                                                 activation_18[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_22 (Conv2D)              (None, None, None, 6 18432       mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_22 (BatchNo (None, None, None, 6 192         conv2d_22[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_22 (Activation)      (None, None, None, 6 0           batch_normalization_22[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_20 (Conv2D)              (None, None, None, 4 13824       mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_23 (Conv2D)              (None, None, None, 9 55296       activation_22[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_20 (BatchNo (None, None, None, 4 144         conv2d_20[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_23 (BatchNo (None, None, None, 9 288         conv2d_23[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_20 (Activation)      (None, None, None, 4 0           batch_normalization_20[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_23 (Activation)      (None, None, None, 9 0           batch_normalization_23[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_2 (AveragePoo (None, None, None, 2 0           mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_19 (Conv2D)              (None, None, None, 6 18432       mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_21 (Conv2D)              (None, None, None, 6 76800       activation_20[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_24 (Conv2D)              (None, None, None, 9 82944       activation_23[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_25 (Conv2D)              (None, None, None, 6 18432       average_pooling2d_2[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_19 (BatchNo (None, None, None, 6 192         conv2d_19[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_21 (BatchNo (None, None, None, 6 192         conv2d_21[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_24 (BatchNo (None, None, None, 9 288         conv2d_24[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_25 (BatchNo (None, None, None, 6 192         conv2d_25[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_19 (Activation)      (None, None, None, 6 0           batch_normalization_19[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_21 (Activation)      (None, None, None, 6 0           batch_normalization_21[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_24 (Activation)      (None, None, None, 9 0           batch_normalization_24[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_25 (Activation)      (None, None, None, 6 0           batch_normalization_25[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed2 (Concatenate)            (None, None, None, 2 0           activation_19[0][0]              \n",
            "                                                                 activation_21[0][0]              \n",
            "                                                                 activation_24[0][0]              \n",
            "                                                                 activation_25[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_27 (Conv2D)              (None, None, None, 6 18432       mixed2[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_27 (BatchNo (None, None, None, 6 192         conv2d_27[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_27 (Activation)      (None, None, None, 6 0           batch_normalization_27[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_28 (Conv2D)              (None, None, None, 9 55296       activation_27[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_28 (BatchNo (None, None, None, 9 288         conv2d_28[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_28 (Activation)      (None, None, None, 9 0           batch_normalization_28[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_26 (Conv2D)              (None, None, None, 3 995328      mixed2[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_29 (Conv2D)              (None, None, None, 9 82944       activation_28[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_26 (BatchNo (None, None, None, 3 1152        conv2d_26[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_29 (BatchNo (None, None, None, 9 288         conv2d_29[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_26 (Activation)      (None, None, None, 3 0           batch_normalization_26[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_29 (Activation)      (None, None, None, 9 0           batch_normalization_29[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_2 (MaxPooling2D)  (None, None, None, 2 0           mixed2[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "mixed3 (Concatenate)            (None, None, None, 7 0           activation_26[0][0]              \n",
            "                                                                 activation_29[0][0]              \n",
            "                                                                 max_pooling2d_2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_34 (Conv2D)              (None, None, None, 1 98304       mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_34 (BatchNo (None, None, None, 1 384         conv2d_34[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_34 (Activation)      (None, None, None, 1 0           batch_normalization_34[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_35 (Conv2D)              (None, None, None, 1 114688      activation_34[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_35 (BatchNo (None, None, None, 1 384         conv2d_35[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_35 (Activation)      (None, None, None, 1 0           batch_normalization_35[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_31 (Conv2D)              (None, None, None, 1 98304       mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_36 (Conv2D)              (None, None, None, 1 114688      activation_35[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_31 (BatchNo (None, None, None, 1 384         conv2d_31[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_36 (BatchNo (None, None, None, 1 384         conv2d_36[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_31 (Activation)      (None, None, None, 1 0           batch_normalization_31[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_36 (Activation)      (None, None, None, 1 0           batch_normalization_36[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_32 (Conv2D)              (None, None, None, 1 114688      activation_31[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_37 (Conv2D)              (None, None, None, 1 114688      activation_36[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_32 (BatchNo (None, None, None, 1 384         conv2d_32[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_37 (BatchNo (None, None, None, 1 384         conv2d_37[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_32 (Activation)      (None, None, None, 1 0           batch_normalization_32[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_37 (Activation)      (None, None, None, 1 0           batch_normalization_37[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_3 (AveragePoo (None, None, None, 7 0           mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_30 (Conv2D)              (None, None, None, 1 147456      mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_33 (Conv2D)              (None, None, None, 1 172032      activation_32[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_38 (Conv2D)              (None, None, None, 1 172032      activation_37[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_39 (Conv2D)              (None, None, None, 1 147456      average_pooling2d_3[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_30 (BatchNo (None, None, None, 1 576         conv2d_30[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_33 (BatchNo (None, None, None, 1 576         conv2d_33[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_38 (BatchNo (None, None, None, 1 576         conv2d_38[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_39 (BatchNo (None, None, None, 1 576         conv2d_39[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_30 (Activation)      (None, None, None, 1 0           batch_normalization_30[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_33 (Activation)      (None, None, None, 1 0           batch_normalization_33[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_38 (Activation)      (None, None, None, 1 0           batch_normalization_38[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_39 (Activation)      (None, None, None, 1 0           batch_normalization_39[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed4 (Concatenate)            (None, None, None, 7 0           activation_30[0][0]              \n",
            "                                                                 activation_33[0][0]              \n",
            "                                                                 activation_38[0][0]              \n",
            "                                                                 activation_39[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_44 (Conv2D)              (None, None, None, 1 122880      mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_44 (BatchNo (None, None, None, 1 480         conv2d_44[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_44 (Activation)      (None, None, None, 1 0           batch_normalization_44[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_45 (Conv2D)              (None, None, None, 1 179200      activation_44[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_45 (BatchNo (None, None, None, 1 480         conv2d_45[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_45 (Activation)      (None, None, None, 1 0           batch_normalization_45[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_41 (Conv2D)              (None, None, None, 1 122880      mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_46 (Conv2D)              (None, None, None, 1 179200      activation_45[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_41 (BatchNo (None, None, None, 1 480         conv2d_41[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_46 (BatchNo (None, None, None, 1 480         conv2d_46[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_41 (Activation)      (None, None, None, 1 0           batch_normalization_41[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_46 (Activation)      (None, None, None, 1 0           batch_normalization_46[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_42 (Conv2D)              (None, None, None, 1 179200      activation_41[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_47 (Conv2D)              (None, None, None, 1 179200      activation_46[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_42 (BatchNo (None, None, None, 1 480         conv2d_42[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_47 (BatchNo (None, None, None, 1 480         conv2d_47[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_42 (Activation)      (None, None, None, 1 0           batch_normalization_42[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_47 (Activation)      (None, None, None, 1 0           batch_normalization_47[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_4 (AveragePoo (None, None, None, 7 0           mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_40 (Conv2D)              (None, None, None, 1 147456      mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_43 (Conv2D)              (None, None, None, 1 215040      activation_42[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_48 (Conv2D)              (None, None, None, 1 215040      activation_47[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_49 (Conv2D)              (None, None, None, 1 147456      average_pooling2d_4[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_40 (BatchNo (None, None, None, 1 576         conv2d_40[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_43 (BatchNo (None, None, None, 1 576         conv2d_43[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_48 (BatchNo (None, None, None, 1 576         conv2d_48[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_49 (BatchNo (None, None, None, 1 576         conv2d_49[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_40 (Activation)      (None, None, None, 1 0           batch_normalization_40[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_43 (Activation)      (None, None, None, 1 0           batch_normalization_43[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_48 (Activation)      (None, None, None, 1 0           batch_normalization_48[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_49 (Activation)      (None, None, None, 1 0           batch_normalization_49[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed5 (Concatenate)            (None, None, None, 7 0           activation_40[0][0]              \n",
            "                                                                 activation_43[0][0]              \n",
            "                                                                 activation_48[0][0]              \n",
            "                                                                 activation_49[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_54 (Conv2D)              (None, None, None, 1 122880      mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_54 (BatchNo (None, None, None, 1 480         conv2d_54[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_54 (Activation)      (None, None, None, 1 0           batch_normalization_54[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_55 (Conv2D)              (None, None, None, 1 179200      activation_54[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_55 (BatchNo (None, None, None, 1 480         conv2d_55[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_55 (Activation)      (None, None, None, 1 0           batch_normalization_55[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_51 (Conv2D)              (None, None, None, 1 122880      mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_56 (Conv2D)              (None, None, None, 1 179200      activation_55[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_51 (BatchNo (None, None, None, 1 480         conv2d_51[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_56 (BatchNo (None, None, None, 1 480         conv2d_56[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_51 (Activation)      (None, None, None, 1 0           batch_normalization_51[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_56 (Activation)      (None, None, None, 1 0           batch_normalization_56[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_52 (Conv2D)              (None, None, None, 1 179200      activation_51[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_57 (Conv2D)              (None, None, None, 1 179200      activation_56[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_52 (BatchNo (None, None, None, 1 480         conv2d_52[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_57 (BatchNo (None, None, None, 1 480         conv2d_57[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_52 (Activation)      (None, None, None, 1 0           batch_normalization_52[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_57 (Activation)      (None, None, None, 1 0           batch_normalization_57[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_5 (AveragePoo (None, None, None, 7 0           mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_50 (Conv2D)              (None, None, None, 1 147456      mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_53 (Conv2D)              (None, None, None, 1 215040      activation_52[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_58 (Conv2D)              (None, None, None, 1 215040      activation_57[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_59 (Conv2D)              (None, None, None, 1 147456      average_pooling2d_5[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_50 (BatchNo (None, None, None, 1 576         conv2d_50[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_53 (BatchNo (None, None, None, 1 576         conv2d_53[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_58 (BatchNo (None, None, None, 1 576         conv2d_58[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_59 (BatchNo (None, None, None, 1 576         conv2d_59[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_50 (Activation)      (None, None, None, 1 0           batch_normalization_50[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_53 (Activation)      (None, None, None, 1 0           batch_normalization_53[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_58 (Activation)      (None, None, None, 1 0           batch_normalization_58[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_59 (Activation)      (None, None, None, 1 0           batch_normalization_59[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed6 (Concatenate)            (None, None, None, 7 0           activation_50[0][0]              \n",
            "                                                                 activation_53[0][0]              \n",
            "                                                                 activation_58[0][0]              \n",
            "                                                                 activation_59[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_64 (Conv2D)              (None, None, None, 1 147456      mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_64 (BatchNo (None, None, None, 1 576         conv2d_64[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_64 (Activation)      (None, None, None, 1 0           batch_normalization_64[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_65 (Conv2D)              (None, None, None, 1 258048      activation_64[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_65 (BatchNo (None, None, None, 1 576         conv2d_65[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_65 (Activation)      (None, None, None, 1 0           batch_normalization_65[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_61 (Conv2D)              (None, None, None, 1 147456      mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_66 (Conv2D)              (None, None, None, 1 258048      activation_65[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_61 (BatchNo (None, None, None, 1 576         conv2d_61[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_66 (BatchNo (None, None, None, 1 576         conv2d_66[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_61 (Activation)      (None, None, None, 1 0           batch_normalization_61[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_66 (Activation)      (None, None, None, 1 0           batch_normalization_66[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_62 (Conv2D)              (None, None, None, 1 258048      activation_61[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_67 (Conv2D)              (None, None, None, 1 258048      activation_66[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_62 (BatchNo (None, None, None, 1 576         conv2d_62[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_67 (BatchNo (None, None, None, 1 576         conv2d_67[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_62 (Activation)      (None, None, None, 1 0           batch_normalization_62[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_67 (Activation)      (None, None, None, 1 0           batch_normalization_67[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_6 (AveragePoo (None, None, None, 7 0           mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_60 (Conv2D)              (None, None, None, 1 147456      mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_63 (Conv2D)              (None, None, None, 1 258048      activation_62[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_68 (Conv2D)              (None, None, None, 1 258048      activation_67[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_69 (Conv2D)              (None, None, None, 1 147456      average_pooling2d_6[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_60 (BatchNo (None, None, None, 1 576         conv2d_60[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_63 (BatchNo (None, None, None, 1 576         conv2d_63[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_68 (BatchNo (None, None, None, 1 576         conv2d_68[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_69 (BatchNo (None, None, None, 1 576         conv2d_69[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_60 (Activation)      (None, None, None, 1 0           batch_normalization_60[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_63 (Activation)      (None, None, None, 1 0           batch_normalization_63[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_68 (Activation)      (None, None, None, 1 0           batch_normalization_68[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_69 (Activation)      (None, None, None, 1 0           batch_normalization_69[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed7 (Concatenate)            (None, None, None, 7 0           activation_60[0][0]              \n",
            "                                                                 activation_63[0][0]              \n",
            "                                                                 activation_68[0][0]              \n",
            "                                                                 activation_69[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_72 (Conv2D)              (None, None, None, 1 147456      mixed7[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_72 (BatchNo (None, None, None, 1 576         conv2d_72[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_72 (Activation)      (None, None, None, 1 0           batch_normalization_72[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_73 (Conv2D)              (None, None, None, 1 258048      activation_72[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_73 (BatchNo (None, None, None, 1 576         conv2d_73[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_73 (Activation)      (None, None, None, 1 0           batch_normalization_73[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_70 (Conv2D)              (None, None, None, 1 147456      mixed7[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_74 (Conv2D)              (None, None, None, 1 258048      activation_73[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_70 (BatchNo (None, None, None, 1 576         conv2d_70[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_74 (BatchNo (None, None, None, 1 576         conv2d_74[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_70 (Activation)      (None, None, None, 1 0           batch_normalization_70[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_74 (Activation)      (None, None, None, 1 0           batch_normalization_74[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_71 (Conv2D)              (None, None, None, 3 552960      activation_70[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_75 (Conv2D)              (None, None, None, 1 331776      activation_74[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_71 (BatchNo (None, None, None, 3 960         conv2d_71[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_75 (BatchNo (None, None, None, 1 576         conv2d_75[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_71 (Activation)      (None, None, None, 3 0           batch_normalization_71[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_75 (Activation)      (None, None, None, 1 0           batch_normalization_75[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_3 (MaxPooling2D)  (None, None, None, 7 0           mixed7[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "mixed8 (Concatenate)            (None, None, None, 1 0           activation_71[0][0]              \n",
            "                                                                 activation_75[0][0]              \n",
            "                                                                 max_pooling2d_3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_80 (Conv2D)              (None, None, None, 4 573440      mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_80 (BatchNo (None, None, None, 4 1344        conv2d_80[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_80 (Activation)      (None, None, None, 4 0           batch_normalization_80[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_77 (Conv2D)              (None, None, None, 3 491520      mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_81 (Conv2D)              (None, None, None, 3 1548288     activation_80[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_77 (BatchNo (None, None, None, 3 1152        conv2d_77[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_81 (BatchNo (None, None, None, 3 1152        conv2d_81[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_77 (Activation)      (None, None, None, 3 0           batch_normalization_77[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_81 (Activation)      (None, None, None, 3 0           batch_normalization_81[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_78 (Conv2D)              (None, None, None, 3 442368      activation_77[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_79 (Conv2D)              (None, None, None, 3 442368      activation_77[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_82 (Conv2D)              (None, None, None, 3 442368      activation_81[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_83 (Conv2D)              (None, None, None, 3 442368      activation_81[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_7 (AveragePoo (None, None, None, 1 0           mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_76 (Conv2D)              (None, None, None, 3 409600      mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_78 (BatchNo (None, None, None, 3 1152        conv2d_78[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_79 (BatchNo (None, None, None, 3 1152        conv2d_79[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_82 (BatchNo (None, None, None, 3 1152        conv2d_82[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_83 (BatchNo (None, None, None, 3 1152        conv2d_83[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_84 (Conv2D)              (None, None, None, 1 245760      average_pooling2d_7[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_76 (BatchNo (None, None, None, 3 960         conv2d_76[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_78 (Activation)      (None, None, None, 3 0           batch_normalization_78[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_79 (Activation)      (None, None, None, 3 0           batch_normalization_79[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_82 (Activation)      (None, None, None, 3 0           batch_normalization_82[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_83 (Activation)      (None, None, None, 3 0           batch_normalization_83[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_84 (BatchNo (None, None, None, 1 576         conv2d_84[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_76 (Activation)      (None, None, None, 3 0           batch_normalization_76[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed9_0 (Concatenate)          (None, None, None, 7 0           activation_78[0][0]              \n",
            "                                                                 activation_79[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "concatenate (Concatenate)       (None, None, None, 7 0           activation_82[0][0]              \n",
            "                                                                 activation_83[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_84 (Activation)      (None, None, None, 1 0           batch_normalization_84[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed9 (Concatenate)            (None, None, None, 2 0           activation_76[0][0]              \n",
            "                                                                 mixed9_0[0][0]                   \n",
            "                                                                 concatenate[0][0]                \n",
            "                                                                 activation_84[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_89 (Conv2D)              (None, None, None, 4 917504      mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_89 (BatchNo (None, None, None, 4 1344        conv2d_89[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_89 (Activation)      (None, None, None, 4 0           batch_normalization_89[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_86 (Conv2D)              (None, None, None, 3 786432      mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_90 (Conv2D)              (None, None, None, 3 1548288     activation_89[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_86 (BatchNo (None, None, None, 3 1152        conv2d_86[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_90 (BatchNo (None, None, None, 3 1152        conv2d_90[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_86 (Activation)      (None, None, None, 3 0           batch_normalization_86[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_90 (Activation)      (None, None, None, 3 0           batch_normalization_90[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_87 (Conv2D)              (None, None, None, 3 442368      activation_86[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_88 (Conv2D)              (None, None, None, 3 442368      activation_86[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_91 (Conv2D)              (None, None, None, 3 442368      activation_90[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_92 (Conv2D)              (None, None, None, 3 442368      activation_90[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_8 (AveragePoo (None, None, None, 2 0           mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_85 (Conv2D)              (None, None, None, 3 655360      mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_87 (BatchNo (None, None, None, 3 1152        conv2d_87[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_88 (BatchNo (None, None, None, 3 1152        conv2d_88[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_91 (BatchNo (None, None, None, 3 1152        conv2d_91[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_92 (BatchNo (None, None, None, 3 1152        conv2d_92[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_93 (Conv2D)              (None, None, None, 1 393216      average_pooling2d_8[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_85 (BatchNo (None, None, None, 3 960         conv2d_85[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_87 (Activation)      (None, None, None, 3 0           batch_normalization_87[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_88 (Activation)      (None, None, None, 3 0           batch_normalization_88[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_91 (Activation)      (None, None, None, 3 0           batch_normalization_91[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_92 (Activation)      (None, None, None, 3 0           batch_normalization_92[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_93 (BatchNo (None, None, None, 1 576         conv2d_93[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_85 (Activation)      (None, None, None, 3 0           batch_normalization_85[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed9_1 (Concatenate)          (None, None, None, 7 0           activation_87[0][0]              \n",
            "                                                                 activation_88[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_1 (Concatenate)     (None, None, None, 7 0           activation_91[0][0]              \n",
            "                                                                 activation_92[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_93 (Activation)      (None, None, None, 1 0           batch_normalization_93[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed10 (Concatenate)           (None, None, None, 2 0           activation_85[0][0]              \n",
            "                                                                 mixed9_1[0][0]                   \n",
            "                                                                 concatenate_1[0][0]              \n",
            "                                                                 activation_93[0][0]              \n",
            "==================================================================================================\n",
            "Total params: 21,802,784\n",
            "Trainable params: 21,768,352\n",
            "Non-trainable params: 34,432\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XRfblSr_kpYa",
        "colab_type": "code",
        "outputId": "8c3a5b75-b0fc-4512-a6bf-c513530a2d79",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# get all layers name\n",
        "for layer in model.layers:\n",
        "    print(layer.name)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "input_1\n",
            "conv2d\n",
            "batch_normalization\n",
            "activation\n",
            "conv2d_1\n",
            "batch_normalization_1\n",
            "activation_1\n",
            "conv2d_2\n",
            "batch_normalization_2\n",
            "activation_2\n",
            "max_pooling2d\n",
            "conv2d_3\n",
            "batch_normalization_3\n",
            "activation_3\n",
            "conv2d_4\n",
            "batch_normalization_4\n",
            "activation_4\n",
            "max_pooling2d_1\n",
            "conv2d_8\n",
            "batch_normalization_8\n",
            "activation_8\n",
            "conv2d_6\n",
            "conv2d_9\n",
            "batch_normalization_6\n",
            "batch_normalization_9\n",
            "activation_6\n",
            "activation_9\n",
            "average_pooling2d\n",
            "conv2d_5\n",
            "conv2d_7\n",
            "conv2d_10\n",
            "conv2d_11\n",
            "batch_normalization_5\n",
            "batch_normalization_7\n",
            "batch_normalization_10\n",
            "batch_normalization_11\n",
            "activation_5\n",
            "activation_7\n",
            "activation_10\n",
            "activation_11\n",
            "mixed0\n",
            "conv2d_15\n",
            "batch_normalization_15\n",
            "activation_15\n",
            "conv2d_13\n",
            "conv2d_16\n",
            "batch_normalization_13\n",
            "batch_normalization_16\n",
            "activation_13\n",
            "activation_16\n",
            "average_pooling2d_1\n",
            "conv2d_12\n",
            "conv2d_14\n",
            "conv2d_17\n",
            "conv2d_18\n",
            "batch_normalization_12\n",
            "batch_normalization_14\n",
            "batch_normalization_17\n",
            "batch_normalization_18\n",
            "activation_12\n",
            "activation_14\n",
            "activation_17\n",
            "activation_18\n",
            "mixed1\n",
            "conv2d_22\n",
            "batch_normalization_22\n",
            "activation_22\n",
            "conv2d_20\n",
            "conv2d_23\n",
            "batch_normalization_20\n",
            "batch_normalization_23\n",
            "activation_20\n",
            "activation_23\n",
            "average_pooling2d_2\n",
            "conv2d_19\n",
            "conv2d_21\n",
            "conv2d_24\n",
            "conv2d_25\n",
            "batch_normalization_19\n",
            "batch_normalization_21\n",
            "batch_normalization_24\n",
            "batch_normalization_25\n",
            "activation_19\n",
            "activation_21\n",
            "activation_24\n",
            "activation_25\n",
            "mixed2\n",
            "conv2d_27\n",
            "batch_normalization_27\n",
            "activation_27\n",
            "conv2d_28\n",
            "batch_normalization_28\n",
            "activation_28\n",
            "conv2d_26\n",
            "conv2d_29\n",
            "batch_normalization_26\n",
            "batch_normalization_29\n",
            "activation_26\n",
            "activation_29\n",
            "max_pooling2d_2\n",
            "mixed3\n",
            "conv2d_34\n",
            "batch_normalization_34\n",
            "activation_34\n",
            "conv2d_35\n",
            "batch_normalization_35\n",
            "activation_35\n",
            "conv2d_31\n",
            "conv2d_36\n",
            "batch_normalization_31\n",
            "batch_normalization_36\n",
            "activation_31\n",
            "activation_36\n",
            "conv2d_32\n",
            "conv2d_37\n",
            "batch_normalization_32\n",
            "batch_normalization_37\n",
            "activation_32\n",
            "activation_37\n",
            "average_pooling2d_3\n",
            "conv2d_30\n",
            "conv2d_33\n",
            "conv2d_38\n",
            "conv2d_39\n",
            "batch_normalization_30\n",
            "batch_normalization_33\n",
            "batch_normalization_38\n",
            "batch_normalization_39\n",
            "activation_30\n",
            "activation_33\n",
            "activation_38\n",
            "activation_39\n",
            "mixed4\n",
            "conv2d_44\n",
            "batch_normalization_44\n",
            "activation_44\n",
            "conv2d_45\n",
            "batch_normalization_45\n",
            "activation_45\n",
            "conv2d_41\n",
            "conv2d_46\n",
            "batch_normalization_41\n",
            "batch_normalization_46\n",
            "activation_41\n",
            "activation_46\n",
            "conv2d_42\n",
            "conv2d_47\n",
            "batch_normalization_42\n",
            "batch_normalization_47\n",
            "activation_42\n",
            "activation_47\n",
            "average_pooling2d_4\n",
            "conv2d_40\n",
            "conv2d_43\n",
            "conv2d_48\n",
            "conv2d_49\n",
            "batch_normalization_40\n",
            "batch_normalization_43\n",
            "batch_normalization_48\n",
            "batch_normalization_49\n",
            "activation_40\n",
            "activation_43\n",
            "activation_48\n",
            "activation_49\n",
            "mixed5\n",
            "conv2d_54\n",
            "batch_normalization_54\n",
            "activation_54\n",
            "conv2d_55\n",
            "batch_normalization_55\n",
            "activation_55\n",
            "conv2d_51\n",
            "conv2d_56\n",
            "batch_normalization_51\n",
            "batch_normalization_56\n",
            "activation_51\n",
            "activation_56\n",
            "conv2d_52\n",
            "conv2d_57\n",
            "batch_normalization_52\n",
            "batch_normalization_57\n",
            "activation_52\n",
            "activation_57\n",
            "average_pooling2d_5\n",
            "conv2d_50\n",
            "conv2d_53\n",
            "conv2d_58\n",
            "conv2d_59\n",
            "batch_normalization_50\n",
            "batch_normalization_53\n",
            "batch_normalization_58\n",
            "batch_normalization_59\n",
            "activation_50\n",
            "activation_53\n",
            "activation_58\n",
            "activation_59\n",
            "mixed6\n",
            "conv2d_64\n",
            "batch_normalization_64\n",
            "activation_64\n",
            "conv2d_65\n",
            "batch_normalization_65\n",
            "activation_65\n",
            "conv2d_61\n",
            "conv2d_66\n",
            "batch_normalization_61\n",
            "batch_normalization_66\n",
            "activation_61\n",
            "activation_66\n",
            "conv2d_62\n",
            "conv2d_67\n",
            "batch_normalization_62\n",
            "batch_normalization_67\n",
            "activation_62\n",
            "activation_67\n",
            "average_pooling2d_6\n",
            "conv2d_60\n",
            "conv2d_63\n",
            "conv2d_68\n",
            "conv2d_69\n",
            "batch_normalization_60\n",
            "batch_normalization_63\n",
            "batch_normalization_68\n",
            "batch_normalization_69\n",
            "activation_60\n",
            "activation_63\n",
            "activation_68\n",
            "activation_69\n",
            "mixed7\n",
            "conv2d_72\n",
            "batch_normalization_72\n",
            "activation_72\n",
            "conv2d_73\n",
            "batch_normalization_73\n",
            "activation_73\n",
            "conv2d_70\n",
            "conv2d_74\n",
            "batch_normalization_70\n",
            "batch_normalization_74\n",
            "activation_70\n",
            "activation_74\n",
            "conv2d_71\n",
            "conv2d_75\n",
            "batch_normalization_71\n",
            "batch_normalization_75\n",
            "activation_71\n",
            "activation_75\n",
            "max_pooling2d_3\n",
            "mixed8\n",
            "conv2d_80\n",
            "batch_normalization_80\n",
            "activation_80\n",
            "conv2d_77\n",
            "conv2d_81\n",
            "batch_normalization_77\n",
            "batch_normalization_81\n",
            "activation_77\n",
            "activation_81\n",
            "conv2d_78\n",
            "conv2d_79\n",
            "conv2d_82\n",
            "conv2d_83\n",
            "average_pooling2d_7\n",
            "conv2d_76\n",
            "batch_normalization_78\n",
            "batch_normalization_79\n",
            "batch_normalization_82\n",
            "batch_normalization_83\n",
            "conv2d_84\n",
            "batch_normalization_76\n",
            "activation_78\n",
            "activation_79\n",
            "activation_82\n",
            "activation_83\n",
            "batch_normalization_84\n",
            "activation_76\n",
            "mixed9_0\n",
            "concatenate\n",
            "activation_84\n",
            "mixed9\n",
            "conv2d_89\n",
            "batch_normalization_89\n",
            "activation_89\n",
            "conv2d_86\n",
            "conv2d_90\n",
            "batch_normalization_86\n",
            "batch_normalization_90\n",
            "activation_86\n",
            "activation_90\n",
            "conv2d_87\n",
            "conv2d_88\n",
            "conv2d_91\n",
            "conv2d_92\n",
            "average_pooling2d_8\n",
            "conv2d_85\n",
            "batch_normalization_87\n",
            "batch_normalization_88\n",
            "batch_normalization_91\n",
            "batch_normalization_92\n",
            "conv2d_93\n",
            "batch_normalization_85\n",
            "activation_87\n",
            "activation_88\n",
            "activation_91\n",
            "activation_92\n",
            "batch_normalization_93\n",
            "activation_85\n",
            "mixed9_1\n",
            "concatenate_1\n",
            "activation_93\n",
            "mixed10\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q5UwYXRPlg4T",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# plot model\n",
        "plot_model(model, to_file=\"model-plot.png\", show_shapes=True, show_layer_names=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9xvUjYq_lXKk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "layer_contributions = {\n",
        "    \"mixed2\": 0.7,\n",
        "    \"mixed3\": 2.2,\n",
        "    \"mixed4\": 1.2,\n",
        "    \"mixed5\": .2\n",
        "}"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CMYI6A4BmulQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Map layer names to layer instance\n",
        "layer_dict = dict([(layer.name, layer) for layer in model.layers])\n",
        "\n",
        "#loss defined byadding layer contributions\n",
        "los = k.variable(0.)\n",
        "\n",
        "for layer_name in layer_contributions:\n",
        "  coeff = layer_contributions[layer_name]\n",
        "  \n",
        "  #activation get the layers output\n",
        "  activation = layer_dict[layer_name].output\n",
        "  scaling = k.prod(k.cast(k.shape(activation), \"float32\"))\n",
        "  \n",
        "  # we add the l2 norm\n",
        "  loss =+ coeff * k.sum(k.square(activation[:, 2: -2, 2: -2: ])) / scaling"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LGr-SoJIoydg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#this is image or dream \n",
        "dream = model.input\n",
        "\n",
        "#obtains gradient wrt to loss\n",
        "grads = k.gradients(loss, dream)[0]\n",
        "\n",
        "#normalize the gradients\n",
        "\n",
        "grads /= k.maximum(k.mean(k.abs(grads)), 1e-7)\n",
        "\n",
        "#create a keras function to get the values of the loss and gradients wrt to input\n",
        "outputs = [loss, grads]\n",
        "fetch_loss_and_grads = k.function([[dream]], outputs)\n",
        "\n",
        "def eval_loss_and_grads(x):\n",
        "#   return the loss and gradient values\n",
        "  outs = fetch_loss_and_grads([x])\n",
        "  loss_value = outs[0]\n",
        "  grad_values = outs[1]\n",
        "  return loss_value, grad_values\n",
        "\n",
        "def gradient_ascent(x, iterations, step, max_loss=None):\n",
        "#   implement gradient access for a specific number of iterations\n",
        "  for i in range(iterations):\n",
        "    loss_value, grad_values = eval_loss_and_grads(x)\n",
        "    if max_loss is not None and loss_value > max_loss:\n",
        "      break\n",
        "    print(\"...Loss Value at \", i, \": \", loss_value)\n",
        "    x += step * grad_values\n",
        "  return x"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HtBN57pbrthk",
        "colab_type": "code",
        "outputId": "40eb52a4-3baa-4038-f38d-d661be9b8430",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import numpy as np\n",
        "import scipy\n",
        "from tensorflow.keras.preprocessing import image\n",
        "import imageio\n",
        "\n",
        "def resize_img(img, size):\n",
        "  img = np.copy(img)\n",
        "  factors = (1,\n",
        "            float(size[0]) / img.shape[1],\n",
        "            float(size[1]) / img.shape[2], 1)\n",
        "  return scipy.ndimage.zoom(img, factors, order=1)\n",
        "\n",
        "def save_img(image, fname):\n",
        "  pil_image = deprocess_image(np.copy(img))\n",
        "  imageio.imwrite(fname, pil_image)\n",
        "  \n",
        "def preprocess_image(image_path):\n",
        "  img = image.load_img(image_path)\n",
        "  img = image.img_to_array(img)\n",
        "  img = np.expand_dims(img, axis=0)\n",
        "  img = inception_v3.preprocess_input(img)\n",
        "  return img\n",
        "\n",
        "def deprocess_image(x):\n",
        "  if k.image_data_format() == \"channels_first\":\n",
        "    x = x.reshape((3, x.shape[2], x.shape[3]))\n",
        "    x = x.transpose((1, 2, 0))\n",
        "  else:\n",
        "    x = x.reshape((x.shape[1], x.shape[2], 3))\n",
        "    \n",
        "  x /= 2.\n",
        "  x += 0.5\n",
        "  x *= 255.\n",
        "  x = np.clip(x, 0, 255).astype(\"uint8\")\n",
        "  return x\n",
        "\n",
        "step = 0.01\n",
        "num_octave = 3\n",
        "octave_scale = 1.4\n",
        "iterations = 20\n",
        "max_loss = 10.0\n",
        "\n",
        "base_image_path = \"/content/Monkey D. Luffy.jpg\"\n",
        "\n",
        "#load our image\n",
        "img = preprocess_image(base_image_path)\n",
        "\n",
        "#initialize a list of tuples for our different images sizes/scales\n",
        "original_shape = img.shape[1: 3]\n",
        "successive_shapes = [original_shape]\n",
        "for i in range(1, num_octave):\n",
        "  shape = tuple([int(dim / (octave_scale ** i)) for dim in original_shape])\n",
        "  successive_shapes.append(shape)\n",
        "  \n",
        "successive_shapes = successive_shapes[::-1]\n",
        "\n",
        "original_img = np.copy(img)\n",
        "shrunk_original_img = resize_img(img, successive_shapes[0])\n",
        "\n",
        "for shape in successive_shapes:\n",
        "  print(\"Processing image shape\", shape)\n",
        "  img = resize_img(img, shape)\n",
        "  img = gradient_ascent(img, \n",
        "                        iterations=iterations,\n",
        "                        step=step,\n",
        "                        max_loss=max_loss)\n",
        "  upscaled_shrunk_original_img = resize_img(shrunk_original_img, shape)\n",
        "  same_size_original = resize_img(original_img, shape)\n",
        "  lost_detail = same_size_original -  upscaled_shrunk_original_img\n",
        "  \n",
        "  img += lost_detail\n",
        "  shrunk_original_img = resize_img(original_img, shape)\n",
        "  save_img(img, fname = \"scaled_dream_image.jpg\")\n",
        "  \n",
        "save_img(img, fname=\"final_dream_image.png\")\n",
        "print(\"DeepDreaming Complete!\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Processing image shape (551, 979)\n",
            "...Loss Value at  0 :  0.016430411\n",
            "...Loss Value at  1 :  0.020452637\n",
            "...Loss Value at  2 :  0.024093095\n",
            "...Loss Value at  3 :  0.032363985\n",
            "...Loss Value at  4 :  0.05003533\n",
            "...Loss Value at  5 :  0.07349614\n",
            "...Loss Value at  6 :  0.10008309\n",
            "...Loss Value at  7 :  0.12511574\n",
            "...Loss Value at  8 :  0.15063049\n",
            "...Loss Value at  9 :  0.17486604\n",
            "...Loss Value at  10 :  0.1975466\n",
            "...Loss Value at  11 :  0.22160544\n",
            "...Loss Value at  12 :  0.24335201\n",
            "...Loss Value at  13 :  0.26492333\n",
            "...Loss Value at  14 :  0.2846522\n",
            "...Loss Value at  15 :  0.30540457\n",
            "...Loss Value at  16 :  0.32410407\n",
            "...Loss Value at  17 :  0.34446007\n",
            "...Loss Value at  18 :  0.361495\n",
            "...Loss Value at  19 :  0.38083404\n",
            "Processing image shape (771, 1371)\n",
            "...Loss Value at  0 :  0.07965864\n",
            "...Loss Value at  1 :  0.13048336\n",
            "...Loss Value at  2 :  0.16467187\n",
            "...Loss Value at  3 :  0.19386168\n",
            "...Loss Value at  4 :  0.22124542\n",
            "...Loss Value at  5 :  0.24608576\n",
            "...Loss Value at  6 :  0.2716798\n",
            "...Loss Value at  7 :  0.29551983\n",
            "...Loss Value at  8 :  0.31748626\n",
            "...Loss Value at  9 :  0.33921605\n",
            "...Loss Value at  10 :  0.3596554\n",
            "...Loss Value at  11 :  0.3811413\n",
            "...Loss Value at  12 :  0.40181878\n",
            "...Loss Value at  13 :  0.4212783\n",
            "...Loss Value at  14 :  0.44050986\n",
            "...Loss Value at  15 :  0.45923623\n",
            "...Loss Value at  16 :  0.47821686\n",
            "...Loss Value at  17 :  0.49700204\n",
            "...Loss Value at  18 :  0.5150136\n",
            "...Loss Value at  19 :  0.5327827\n",
            "Processing image shape (1080, 1920)\n",
            "...Loss Value at  0 :  0.08483298\n",
            "...Loss Value at  1 :  0.14269933\n",
            "...Loss Value at  2 :  0.18080027\n",
            "...Loss Value at  3 :  0.21140593\n",
            "...Loss Value at  4 :  0.241626\n",
            "...Loss Value at  5 :  0.26987535\n",
            "...Loss Value at  6 :  0.29706302\n",
            "...Loss Value at  7 :  0.3224957\n",
            "...Loss Value at  8 :  0.3476736\n",
            "...Loss Value at  9 :  0.37261853\n",
            "...Loss Value at  10 :  0.39649758\n",
            "...Loss Value at  11 :  0.42065927\n",
            "...Loss Value at  12 :  0.44410446\n",
            "...Loss Value at  13 :  0.4662316\n",
            "...Loss Value at  14 :  0.48815906\n",
            "...Loss Value at  15 :  0.50972164\n",
            "...Loss Value at  16 :  0.53218347\n",
            "...Loss Value at  17 :  0.55418676\n",
            "...Loss Value at  18 :  0.5759194\n",
            "...Loss Value at  19 :  0.5955947\n",
            "DeepDreaming Complete!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bTJFg4NutwIk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#save keras model\n",
        "# model.save('model.h5')\n",
        "\n",
        "#get all layers name to know the input tensor-name\n",
        "for layer in model.layers:\n",
        "    print(layer.name)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "go_GFH86fLHr",
        "colab_type": "code",
        "outputId": "e80d0bf2-5760-4b40-84bb-9e5abe53692f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        }
      },
      "source": [
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "from tensorflow import lite\n",
        "\n",
        "print( tf.VERSION )\n",
        "\n",
        "#inception input shape is [1, 299, 299, 3]\n",
        "converter = lite.TFLiteConverter.from_keras_model_file(\"model.h5\",\n",
        "                                                       input_shapes={'input_2': [1, 299, 299, 3]}\n",
        "                                                       )\n",
        "model = converter.convert()\n",
        "\n",
        "file = open( 'model.tflite' , 'wb' ) \n",
        "file.write( model )"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1.14.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "W0807 09:21:50.384425 139857043224448 hdf5_format.py:221] No training configuration found in save file: the model was *not* compiled. Compile it manually.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "87109512"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CSMrsEoiVPH7",
        "colab_type": "code",
        "outputId": "8a4d4596-8301-4b3d-f98b-9864a7c63a2b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "#check input/output shape\n",
        "interpreter = lite.Interpreter(model_path=\"model.tflite\")\n",
        "interpreter.allocate_tensors()\n",
        "\n",
        "print(interpreter.get_input_details()[0]['shape'])  \n",
        "print(interpreter.get_input_details()[0]['dtype']) \n",
        "\n",
        "print(interpreter.get_output_details()[0]['shape'])  \n",
        "print(interpreter.get_output_details()[0]['dtype']) "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[  1 299 299   3]\n",
            "<class 'numpy.float32'>\n",
            "[   1    8    8 2048]\n",
            "<class 'numpy.float32'>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZcgMD94QYqd5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}