Use this category for discussions of Practical Deep Learning for Coders (2018), Part 1. Be sure to check the FAQ before posting, and read about how to ask for help.
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).
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.
Please use this category for all discussions of part 1 of the older course17.fast.ai. (Note that we recommend switching to the new course if possible.)
This category is for questions and discussions related to the fast.ai course, Computational Linear Algebra. This blog post 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.