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- Intro
- Explainer
- PART 1 - Install and Setup
- PART 2 - Load Data and Labels
- How the Data was Created
- Load Images
- Load Labels
- Combine Image and Label Samples
- View Examples
- PART 3 - Build and Train the Neural Network
- Create the Keypoint Detection Model
- Setup Loss and Optimizer
- Sense Check Predictions
- Train the Model
- PART 4 - Review Performance and Make Predictions
- View Loss Plots
- Save the Model
- PART 5 - Real Time Detection and Final Results
- Ending
Nicholas Renotte
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