PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets

Implement a Recurrent Neural Net (RNN) in PyTorch! Learn how we can use the nn.RNN module and work with an input sequence.

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Implement a Recurrent Neural Net (RNN) in PyTorch! Learn how we can use the nn.RNN module and work with an input sequence. I also show you how easily we can switch to a gated recurrent unit (GRU) or long short-term memory (LSTM) RNN.

Code on GitHub: https://github.com/patrickloeber/pytorch-examples.

Further Readings:¶

• RNN: https://pytorch.org/docs/stable/generated/torch.nn.RNN.html
• LSTM: https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html

• GRU: https://pytorch.org/docs/stable/generated/torch.nn.GRU.html

• https://karpathy.github.io/2015/05/21/rnn-effectiveness/

• https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
• https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html