CNN Layers and Feature Visualization

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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

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09. Pooling Layers

Pooling Layers

* We'll link to PyTorch pooling documentation, since that's what we'll use in this course.

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