I am confused about the architecture of RNN in Flux.jl. If I define a RNN using the code
RNN(3,3), will it be like the left one or the right one in the picture below?
Based on the documentation, I think it is more like the right one, but I am not sure:
RNN(in::Integer, out::Integer, σ = tanh)
The most basic recurrent layer; essentially acts as a
Denselayer, but with the output fed back into the input each time step.
I actually want to define a multi-input and multi-output RNN like the right one in the figure. If
flux.RNN() cannot achieve this, do anyone have ideas how to write it mannually?
Thanks a lot for your help!