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- 7. Build and Train an LSTM Deep Learning Model
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Classroom Contents
Sign Language Detection Using Action Recognition with Python - LSTM Deep Learning Model
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- 1 - Start
- 2 - Gameplan
- 3 - How it Works
- 4 - Tutorial Start
- 5 - 1. Install and Import Dependencies
- 6 - 2. Detect Face, Hand and Pose Landmarks
- 7 - 3. Extract Keypoints
- 8 - 4. Setup Folders for Data Collection
- 9 - 5. Collect Keypoint Sequences
- 10 - 6. Preprocess Data and Create Labels
- 11 - 7. Build and Train an LSTM Deep Learning Model
- 12 - 8. Make Sign Language Predictions
- 13 - 9. Save Model Weights
- 14 - 10. Evaluation using a Confusion Matrix
- 15 - 11. Test in Real Time
- 16 - BONUS: Improving Performance
- 17 - Wrap Up
