Convolutional Neural Networks

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

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08. 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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