Lab10

Lab 10

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For self-study:

• Annotated deep learning papers: https://github.com/labmlai/annotated_deep_learning_paper_implementations
• RNN vs GRU vs LSTM: https://medium.com/analytics-vidhya/rnn-vs-gru-vs-lstm-863b0b7b1573
• Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

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References:

• LSTM explained: https://nn.labml.ai/lstm/index.html
• LSTM paper: https://deeplearning.cs.cmu.edu/F23/document/readings/LSTM.pdf
• RNN tutorial: https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html