nathanhubens / autoencoders Goto Github PK

I have tried running this line of code in the Variational Autoencoders markdown.

history = vae.fit(X_train, X_train,shuffle=True, epochs=epochs, batch_size=batch_size, validation_data=(X_test, X_test))

But found an error showing the result as follows

TypeError: Cannot convert a symbolic Keras input/output to a numpy array. This error may indicate that you're trying to pass a symbolic value to a NumPy call, which is not supported. Or, you may be trying to pass Keras symbolic inputs/outputs to a TF API that does not register dispatching, preventing Keras from automatically converting the API call to a lambda layer in the Functional Model.