Hey, currently using Keras over Tensorflow and running into limitations.
I need to create an LSTM that can take a sequence, produce an outputted next step in the sequence, then use the output as part of the next input, for n cycles, prior to updating weights and comparing the n produced outputs against training data. Is it possible to do so with Torch?
(Picture included for clarity)