Courses: Marc Lelarge's hands-on tour to deep learning with PyTorch

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From Marc's twitter account:

Just finished teaching a 5 days summer school: Hands-on tour to deep learning with @PyTorch (https://t.co/LjFjnTGa5j), in collaboration with @abursuc, @tlacroix6 and Stéphane d'Ascoli. All slides and notebooks available online (@GoogleColab compatible). pic.twitter.com/SEC5DmhFv8

— marc lelarge (@marc_lelarge) 1 juillet 2019

Here is Marc Lelarge's hands-on tour to deep learning with PyTorch

Day 1:

• (slides) introductory slides
• (code) a first example on Colab: dogs and cats with VGG
• (code) making a regression with autograd: intro to pytorch

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:

• (slides) Towards deep learning for the real world by Andrei
• (code) softmax temperature; Mixture Density Networks; Bayes by backpropagation
• (slides) Generative Adversarial Networks
• (code) Conditional and Info GANs

Day 4:

• Reccurrent Neural Networks: slides and associated code
• (code) PyTorch tutorial on char-RNN
• (code) Word2vec
• (code) Playing with word embedding
• Structured Self-attentive Sentence Embedding paper code to obtain Glove NLP mini-project

Day 5:

• (slides) Opening the black box
• (code) CAM
• (code) Adversarial examples
• Graph Neural Networks by Timothée

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