Recurrent Neural Networks with PyTorch
In this video we learn the basics of recurrent neural networks with PyTorch. In particular, our focus is on a special kind of RNN - an LSTM network.
Why are these networks important? Because many applications involve dependencies over time. This means our current output depends not only on the current input, but also on past inputs. This is particularly critical in natural language processing.
https://github.com/LeanManager/NLP-Py...
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