autoencoder.summary() # Train ### 加一個(gè)early_stooping import keras early_stopping = keras.callbacks.EarlyStopping( monitor='val_loss', min_delta=0.0001, patience=5, verbose=0, mode='auto' ) autoencoder.fit(X_train_np, y_train_np, nb_epoch=50, batch_size=batch_size , shuffle=Tr...
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