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- Intro
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Classroom Contents
Build a Deep Iris Detection Model Using Python and Tensorflow - Keypoint Detection
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- 1 - Intro
- 2 - Explainer
- 3 - PART 1 - Install and Setup
- 4 - PART 2 - Load Data and Labels
- 5 - How the Data was Created
- 6 - Load Images
- 7 - Load Labels
- 8 - Combine Image and Label Samples
- 9 - View Examples
- 10 - PART 3 - Build and Train the Neural Network
- 11 - Create the Keypoint Detection Model
- 12 - Setup Loss and Optimizer
- 13 - Sense Check Predictions
- 14 - Train the Model
- 15 - PART 4 - Review Performance and Make Predictions
- 16 - View Loss Plots
- 17 - Save the Model
- 18 - PART 5 - Real Time Detection and Final Results
- 19 - Ending
