I have a neural network (NN) implemented in Keras and I would like to make it more complex. Things I want to add go beyond what Keras interface offers. (For example, I want to have an auto-regressive connection).

I wonder: can I make my NN more complex without re-implementing it in TensorFlow? Is there a convenient way to do it? It would be something like creating your custom layer and custom operation.

Thank you for your time!

Similar questions and discussions