I wonder if there’s any PyTorch tuturials already on coding RNNs, from scratch, (i.e. not using the builtin RNN modules), I’m thinking of doing a quick tutorial showing how to do it.
There’s a really nice tutorial in TensorFlow, rnn from scratch, which I could port over, but I’m pretty sure there much already be one out there already?
@smth, @apaszke, @colesbury, is there anything like this already in the docs, and would it be worth adding for teaching purposes?
For example the, here’s the basic TF code for a vanilla rnn, and a GRU
I guess I could simplify this implementation of a lstm in PyTorch using basic modules
Thanks a lot for your feedback