Practical Deep Learning for Coders, the course.Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD: A book from O’Reilly, which covers the same material as the course (including the content planned for part 2 of the course)Īlso, in case you missed it, earlier this week we released the Practical Data Ethics course, which focuses on topics that are both urgent and practical.Practical Deep Learning for Coders (2020 course, part 1): Incorporating both an introduction to machine learning, and deep learning, and production and deployment of data products.fastcore fastgpu: Foundational libraries used in fastai v2, and useful for many programmers and data scientists.fastai v2: A complete rewrite of fastai which is faster, easier, and more flexible, implementing new approaches to deep learning framework design, as discussed in the peer reviewed fastai academic paper.Today is fast.ai’s biggest day in our four year history. We pay all of our costs out of our own pockets, and take no grants or donations, so you can be sure we’re truly independent.

We make all of our software, research papers, and courses freely available with no ads. Fast.ai releases new deep learning course, four libraries, and 600-page book Written: by Jeremy Howardįast.ai is a self-funded research, software development, and teaching lab, focused on making deep learning more accessible.

Deep learning books