vae6.py

opt = optimizers.Adam(learning_rate=0.0001, clipvalue=0.5)

vae_model.compile(optimizer=opt, loss=vae_loss)
vae_model.summary()
# Finally, we train the model:
results = vae_model.fit(X_train, X_train,
                        shuffle=True,
                        epochs=32,
                        batch_size=256)