Hands-on tour to deep learning with PyTorch
- Day 1:
- Day 2:
- (slides) refresher: linear/logistic regressions, classification and PyTorch module.
- (code) understanding convolutions and your first neural network for a digit recognizer.
- (slides) embeddings and dataloader
- (code) Collaborative filtering: matrix factorization and recommender system
- (slides) Variational Autoencoder by Stéphane
- (code) AE and VAE
- Day 3:
- Day 4:
- Day 5:
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