Lipari School on Network and Computer Sciences

Material for Hands-on introduction to deep learning with PyTorch (5h):

1. (slides) introductory slides
2. (code) a first example on Colab: dogs and cats with VGG
3. (slides) linear/logistic regressions, classification and PyTorch module.
4. (slides) embeddings and dataloader
5. (code) Collaborative filtering: matrix factorization and recommender system
6. (slides) A short introduction to Graph Neural Networks

Going a bit further:

1. the Neural Network zoo
2. (code) Understanding autograd with a regression: intro to pytorch
3. (code) Auto-Encoder

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