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. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ ✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtu... * 🚀🚀 JOIN MY NEWSLETTER 🚀🚀 https://www.python-engineer.com/newsl... 🚀🚀 Get exclusive content on Patreon: 🚀🚀   / patrickloeber   If you enjoyed this video, please subscribe to the channel! Code: https://github.com/patrickloeber/pyto... PyTorch Beginner Course:    • PyTorch Tutorials - Complete Beginner Course   Beginner Course Code: https://github.com/patrickloeber/pyto... PyTorch Tutorial 13 - Feed-Forward Neural Network:    • PyTorch Tutorial 13 - Feed-Forward Neural ...   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... You can find me here: Website: https://www.python-engineer.com Twitter:   / patloeber   GitHub: https://github.com/patrickloeber #PyTorch ---------------------------------------------------------------------------------------------------------- This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏