Convolutional Neural Networks
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01. Lesson Plan: Week 3
02. Introducing Alexis
03. Applications of CNNs
04. How Computers Interpret Images
05. MLPs for Image Classification
06. Categorical Cross-Entropy
07. Model Validation in Keras
08. When do MLPs (not) work well?
09. Mini Project: Training an MLP on MNIST
10. Local Connectivity
11. Convolutional Layers (Part 1)
12. Convolutional Layers (Part 2)
13. Stride and Padding
14. Convolutional Layers in Keras
15. Quiz: Dimensionality
16. Pooling Layers
17. Max Pooling Layers in Keras
18. Lesson Plan: Week 4
19. CNNs for Image Classification
20. CNNs in Keras: Practical Example
21. Mini Project: CNNs in Keras
22. Image Augmentation in Keras
23. Mini Project: Image Augmentation in Keras
24. Groundbreaking CNN Architectures
25. Visualizing CNNs (Part 1)
26. Visualizing CNNs (Part 2)
27. Transfer Learning
28. Transfer Learning in Keras
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18. Lesson Plan: Week 4
## Lesson Plan: Week 4
The list of lectures & readings for week 4 can be found in the lesson plan
here
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