I heard that John Carmack got a reading list from Ilya@OpenAI, but I could not find it. Is there something similar that you would recommend?
I was thinking of taking the papers, implement the algorithm from scratch and build some intuition based on that experience.
Anything you would recommend?
https://github.com/terryum/awesome-deep-learning-papers
https://endymecy.github.io/awesome-deeplearning-resources/
You might also track down the website for a DL class from a reputable university and mine the syllabus for a list of assigned readings. Do that for two or three such instances and you could probably come up with a pretty solid list.
Or may just ask Carmack to share the list he was referring to? Does anybody know if he responds to Tweets / Twitter DM's, etc?
EDIT:
Also, check out https://paperswithcode.com/
EDIT 2:
Also, not reading, but.. Andrej Karpathy has a Youtube channel now and has been putting up some videos on ML topics. Might be of interest?