- (slides) refresher: linear/logistic regressions, classification and PyTorch module.
- using colab features to overfit . This practical requires the features computed on colab in day 1.
- (code) understanding convolutions and your first neural network for a digit recognizer.
- (slides) embeddings and dataloader
- (code) Collaborative filtering: matrix factorization and recommender system
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