Module 7 – Recurrent Neural Networks
What you'll learn
Builds on Modules 1–6
≈7 h · 2.5 h video · 2 h reading · 2.5 h coding
- Implement char-RNN and visualize gradient flow over time steps
- Build LSTM from scratch; run gate ablation studies
- Compare LSTM vs GRU performance and computational efficiency
- Apply gradient clipping and truncated BPTT; analyze training stability
Lecture 7 – Recurrent Neural Networks
Lecture 7.2 – Recurrent Neural Networks (Part 2)
Lecture 7.3 – Recurrent Neural Networks (Part 3)
📚 Resources & Lecture Code