Category Topics

Part 1 (2019)

This topic is for anyone to chat about anything you want, as long as it is at least somewhat related to the course! (It’s fine if you drift off topic a bit though.) folks probably won’t be following this thread closely however, so if you want to ensure that your questions that answered, put them in a relevant topic.

Part 2 & Alumni (2018)

Use this category for discussions of Cutting Edge Deep Learning for Coders (2018), Part 2. Also use this category if you’ve finished the course and want to discuss topics that may be of interest to other part 2 students and alumni.

Intro to Machine Learning

Welcome to Introduction to Machine Learning for Coders! Please use this category for any questions, issues, comments (and of course answers!) related to this course.

fastai users

This is for help with installing and using the fastai v1 library, for any level of user. Note that this library is not used for any MOOC at this stage (they use v0.7). The is also the fastai-dev category here for discussing development of the library (for advanced users).

Deep Learning

Use this category to discuss anything to do with deep learning that’s not related to a course (each of those has its own category) - including stuff that’s not related to at all!

Computational Linear Algebra

This category is for questions and discussions related to the course, Computational Linear Algebra. This blog post introduces the course.


Forum for discussion of higher-level APIs for S4TF. This is a wiki post - feel free to edit it to add any high-level resources that everyone here should be aware of.

Part 1 (2017)

Please use this category for all discussions of part 1 of the older keras-based (Note that we recommend switching to the new course if possible. The forum for the new course is here: #part1-v2 ).

Part 2 (2017)

NB: This category is for the older version of the course.

Site Feedback

Discussion about this site, its organization, how it works, and how we can improve it.

Part 1 (2018)

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.