- 01. Introducing Alexis
- 02. Applications of CNNs
- 03. How Computers Interpret Images
- 04. MLPs for Image Classification
- 05. Categorical Cross-Entropy
- 06. Model Validation in Keras
- 07. When do MLPs (not) work well?
- 08. Mini project: Training an MLP on MNIST
- 09. Local Connectivity
- 10. Convolutional Layers (Part 1)
- 11. Convolutional Layers (Part 2)
- 12. Stride and Padding
- 13. Convolutional Layers in Keras
- 14. Quiz: Dimensionality
- 15. Pooling Layers
- 16. Max Pooling Layers in Keras
- 17. CNNs for Image Classification
- 18. CNNs in Keras: Practical Example
- 19. Mini project: CNNs in Keras
- 20. Image Augmentation in Keras
- 21. Mini project: Image Augmentation in Keras
- 22. Groundbreaking CNN Architectures
- 23. Visualizing CNNs (Part 1)
- 24. Visualizing CNNs (Part 2)
- 25. Transfer Learning
- 26. Transfer Learning in Keras