Part 6: Deep Learning with PyTorch
Chapter 29: Recurrent Networks and Sequence Models
Intermediate~120 min
Learning Objectives
- Implement RNN, LSTM, and GRU cells and understand vanishing gradient issues
- Build sequence-to-sequence models with attention for time-series prediction
- Implement temporal convolutional networks (TCN) for causal sequence modeling
Sections
Prerequisites
💬 Discussion
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