dataflowr

deep learning courses

Material for Deep Learning hands-on courses: GitHub repositories for code and slides.

Largely inspired by fast.ai course: Practical Deep Learning For Coders (but with a different focus).

The main goal of the courses is to allow students to understand papers, blog posts and codes available online and to adapt them to their projects as soon as possible. In particular, we avoid the use of any high-level neural networks API and focus on the PyTorch library in Python.

Constructive comments welcome!

available courses:

main updates:

Contributors

with: Alexandre Défossez, Timothée Lacroix, Pierre Stock, Alexandre Sablayrolles, Nicolas Prost, Stéphane d’Ascoli

GAN InfoGAN

Acknowledgement

We gratefully acknowledge the support of NVIDIA Corporation with the donation of a Titan V GPU and Google with a Google Cloud Platform Education Grant.

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