- 01. Sentiment RNN, Introduction
- 02. Pre-Notebook: Sentiment RNN
- 03. Notebook: Sentiment RNN
- 04. Data Pre-Processing
- 05. Encoding Words, Solution
- 06. Getting Rid of Zero-Length
- 07. Cleaning & Padding Data
- 08. Padded Features, Solution
- 09. TensorDataset & Batching Data
- 10. Defining the Model
- 11. Complete Sentiment RNN
- 12. Training the Model
- 13. Testing
- 14. Inference, Solution