Course

lecture 3. regularization and optimization

lecture 4. nns and backprop

lecture 5. image classification with cnns

lecture 6. cnn architectures

lecture 9. Detection, Segmentation, Visualization, and Understanding

lecture 10. Video Understanding

lecture 11. large scale distributed training

lecture 14. generative models (2)

Deep Dive

L1 Distance vs L2 Distance

Activation Functions

Normalization: What, When, Why, and How?

Weight Initialization