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activation='sigmoid')(decoder_layer2) # define autoencoder model autoencoder = Model(inputs=input_image, outputs=decoder_outputs) # compile model autoencoder.compile(optimizer='adam', loss='binary_crossentropy') autoencoder.fit(x_train, x_train, epochs=50, batch_size=256, shuffle=True,