Feedforward Net convert from Python

Question

Stephen Gray 2020-3-9

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/509932-feedforward-net-convert-from-python

回答： Srivardhan Gadila 2020-3-16

Hi.

I have an example of a feedforward network written in Python using an ADAM optimizer which I want to replicate in Matlab. The basics are

network = models.Sequential()
network.add(layers.Dense(units=64, activation='relu', input_shape=(len(features.columns),)))
network.add(layers.Dense(units=32, activation='relu'))
network.add(layers.Dense(units=1, activation='sigmoid'))
network.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) 
es = EarlyStopping(monitor='val_loss', mode='min', verbose=0, patience=500)
mc = ModelCheckpoint('data/best_model.h5', monitor='val_loss', mode='min', verbose=2, save_best_only=True)
history = network.fit(train_features, train_target, 
            epochs=1000, verbose=0, batch_size=128, 
            validation_data=(test_features, test_target), callbacks=[es, mc]) 

I believe I cannot use the Adam optimizer in the feedforward function so can I directly convert this or woud I have to create some layers myself rather than use the feedforward function?