odir_model_advanced.py

# Copyright 2019-2020 Jordi Corbilla. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
from tensorflow.keras import models, layers
from odir_model_base import ModelBase


class Advanced(ModelBase):

    def compile(self):
        model = models.Sequential()
        model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=self.input_shape))
        model.add(layers.MaxPooling2D((2, 2)))
        model.add(layers.Dropout(0.2))
        model.add(layers.Conv2D(64, (3, 3), activation='relu'))
        model.add(layers.MaxPooling2D((2, 2)))
        model.add(layers.Conv2D(64, (3, 3), activation='relu'))
        model.add(layers.Dropout(0.2))
        model.add(layers.Flatten())
        model.add(layers.Dense(64, activation='relu'))
        model.add(layers.Dense(8, activation='sigmoid'))
        model.compile(optimizer='adam', loss='binary_crossentropy', metrics=self.metrics)
        self.show_summary(model)
        self.plot_summary(model, 'model_advanced.png')
        return model