3 ms·
This book looks impressive. There's a chapter on the unreasonable effectiveness of Deep Learning which I love. Any other books I should be on the lookout for?
by msie 3y ago
This book looks impressive. There's a chapter on the unreasonable effectiveness of Deep Learning which I love. Any other books I should be on the lookout for?
- nootopian 3y agohttps://news.ycombinator.com/item?id=38425368 https://news.ycombinator.com/item?id=38425368
- theogravity 3y agoI wish it wasn't an X post. Can't see responses at all without an account.
- nextos 3y agoUse nitter to go around X authwalls: https://nitter.net/suhail/status/1728676402864812466 https://nitter.net/suhail/status/1728676402864812466
- nextos 3y agoThis presentation from Deep Mind outlines some foundational ML books: https://drive.google.com/file/d/1lPePNMGMEKoaDvxiftc8hcy-rFpobXeJ/view https://drive.google.com/file/d/1lPePNMGMEKoaDvxiftc8hcy-rFp... For the impatient, look into slide #123. Essentially, the recommendations are Murphy, Gelman, Barber, and Deisenroth. Note these slides have a Bayesian bias. In spite of that, Murphy is a great DL book. Besides, going through GLMs is a great way to get into DL.
- mitthrowaway2 3y agoWhat is a "Bayesian bias"?
- nextos 3y agoI meant the presenter is discussing ML from a Bayesian point of view, which is interesting, but not something you need if your aim is just to understand deep learning.
- fastneutron 3y agoReality has a well known Bayesian bias… Joking aside, these slides are excellent! Is there an associated video or course that they were a part of?
- nextos 3y agoNo, these were part of a conference held at Tubingen in 2020.
- teleforce 3y agoYes, it looks very impressive indeed and it has the potential to be the seminal textbook on the subject. Fun facts, the infamous Attention paper is closing in to reach the 10K citations, and it should reach this milestone by the end of this year. It's probably the fastest paper ever to reach this significant milestone. Any deep learning book written before the Attention paper should be considered out of date, and needs updating. The situation is not unlike an outdated Physics textbook with Newton's laws but devoid of the infamous Einstein's equation of energy equivalence.