- 01. Intro to RNNs
- 02. RNN vs LSTM
- 03. Basics of LSTM
- 04. Architecture of LSTM
- 05. The Learn Gate
- 06. The Forget Gate
- 07. The Remember Gate
- 08. The Use Gate
- 09. Putting it All Together
- 10. Other architectures
- 11. Implementing RNNs
- 12. Time-Series Prediction
- 13. Training & Memory
- 14. Character-wise RNNs
- 15. Sequence Batching
- 16. Notebook: Character-Level RNN
- 17. Implementing a Char-RNN
- 18. Batching Data, Solution
- 19. Defining the Model
- 20. Char-RNN, Solution
- 21. Making Predictions