skiprnn_pytorch
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gitabcworld
A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"
How to customize and implement bidirectional RNN
Could you please give me the version of torch you used to implement this technique at that time. I have some troubles with version conflict. Many thanks!
Hi, Thanks for this good work! I am using Skip-LSTM on my experiment now. And it seems to work well. However, I am wondering how can this code deal with...
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A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"