@jekbradbury I see. I thought it is similar to Sequential Model in Keras.
What if I want to stack layers of Convolution, LSTM and Dense in one model? Is there an example on how to do this in PyTorch?
Also, what if I want to stack LSTM layers with different number of hidden units? How can I do that?