ML 9
- 2-Layer Neural Net Gradient Derivations for Backpropagation
- Generative Adversarial Networks (GANs)
- Negative Log Likelihood and Softmax
- SVMs and the Hinge Loss Function
- Deriving Cross Entropy Gradient
- Contrastive Learning
- Learned Aggregation
- BatchNorm - Part 2: Backward Pass
- BatchNorm - Part 1: Forward Pass