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

Описание к видео 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. I also show you how easily we can switch to a gated recurrent unit (GRU) or long short-term memory (LSTM) RNN.

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Code:
https://github.com/patrickloeber/pyto...

PyTorch Beginner Course:
   • PyTorch Tutorials - Complete Beginner...  

Beginner Course Code:
https://github.com/patrickloeber/pyto...

PyTorch Tutorial 13 - Feed-Forward Neural Network:
   • PyTorch Tutorial 13 - Feed-Forward Ne...  

RNN:
https://pytorch.org/docs/stable/gener...

LSTM:
https://pytorch.org/docs/stable/gener...

GRU:
https://pytorch.org/docs/stable/gener...

Further Readings:
https://karpathy.github.io/2015/05/21...
https://stanford.edu/~shervine/teachi...
https://pytorch.org/tutorials/interme...

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Website: https://www.python-engineer.com
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GitHub: https://github.com/patrickloeber

#PyTorch

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