Please use this category for all discussions of part 1 of course.fast.ai. (All previously uncategorized discussions have been moved to this category as of April 21, 2017, so you may see some incorrectly classified threads from before this date.)
Thank you for joining Deep Learning Part 2! Hopefully you've already familiarized yourself with the forums during part 1 of the course, so this will all be very familiar to you.
Computational Linear Algebra
This category is for questions and discussions related to the fast.ai course, Computational Linear Algebra. This
introduces the course. Here is advice on how to
ask for help
in a way that maximizes the chances someone else will be able to provide a helpful answer.
Deep learning theory, including discussion of academic papers, and of the MIT Press
Deep Learning book
Discuss your projects or ideas for applications of deep learning here.
If you've finished part 2 of the course, join other alumni for in-depth deep learning discussions!
Discussion about this site, its organization, how it works, and how we can improve it.
Part 1 v2
Welcome to v2 of Deep Learning Part 1! We are currently doing a “soft launch” of the course videos. Feel free to discuss and share amongst your friends, but don’t post the videos to high volume sites like twitter, HN, reddit, etc until we launch officially - since I want new people to get the best possible experience. Here are all the lessons:
Part1 v2 Beginner
This category is strictly for discussing topics that we have brought up in class, questions about running the code that we’ve looked at in class, or any other issues related to the lessons we’ve covered already. The goal is for this category to be approachable and non-intimidating to folks with the minimum prerequisites (no machine learning background, one year of coding experience).