- 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