OK folks, if you've finished part 1 and you're needing some more deep learning learning, I've got good news for you... I've made available part 2's videos for you to enjoy!
Please note that this is an early release - there's no course notes, the notebooks are not documented properly yet, the videos aren't edited, and there's no web-site for this part of the course. So please do not distribute this to public channels such as twitter, blogs etc; I don't want to publicly announce this until it's complete. (But feel free to tell your friends through private channels, if you wish).
I've also made the #part2 category available to all - previously it was only available to students of the in-person class. The notebooks and python files are all available at this github repo. Note that the notebooks will be changing regularly over the coming weeks, so you should probably make a copy of any that you're working on.
We did not use wiki.fast.ai for this part of the course, but instead created forum wiki threads. Each lesson's thread is linked below next to each video. Please help us help the next batch of students by editing the wiki threads to add explanations, links, etc, and of course please contribute to the discussions in #part2! Without further ado, here's the links to the videos and wiki threads: