- 01. Introduction to CNN Layers
- 02. Review: Training a Neural Network
- 03. Lesson Outline and Data
- 04. CNN Architecture, VGG-16
- 05. Convolutional Layers
- 06. Defining Layers in PyTorch
- 07. Notebook: Visualizing a Convolutional Layer
- 08. Pooling, VGG-16 Architecture
- 09. Pooling Layers
- 10. Notebook: Visualizing a Pooling Layer
- 11. Fully-Connected Layers, VGG-16
- 12. Notebook: Visualizing FashionMNIST
- 13. Training in PyTorch
- 14. Notebook: Fashion MNIST Training Exercise
- 15. Notebook: FashionMNIST, Solution 1
- 16. Review: Dropout
- 17. Notebook: FashionMNIST, Solution 2
- 18. Network Structure
- 19. Feature Visualization
- 20. Feature Maps
- 21. First Convolutional Layer
- 22. Visualizing CNNs (Part 2)
- 23. Visualizing Activations
- 24. Notebook: Feature Viz for FashionMNIST
- 25. Notebook: Visualize Your Net Layers
- 26. Last Feature Vector and t-SNE
- 27. Occlusion, Saliency, and Guided Backpropagation
- 28. Summary of Feature Viz
- 29. Image Classification & Regression Challenges