[magoghm]

The book that just came out, "Understanding Deep Learning", is an excellent overview of the current state of AI: https://udlbook.github.io/udlbook/

Read that first, then to keep up to date you can follow up with any papers that seem interesting to you. A good way to be aware of the interesting papers that come out is to follow @_akhaliq on X: https://twitter.com/_akhaliq

[bilsbie]

What do you think of this book?

https://fleuret.org/francois/lbdl.html

I like that it’s formatted for the phone.

[magoghm]

I think it is quite good if what you need is to get very quickly a simple overview of the current state of AI.

[randcraw]

My current fave book to introduce DNNs is "Deep Learning: A Visual Approach" by Glassner. He's crystal clear, covers a lot of ground, and the book is up-to-date on everything but LMMs, which is moving so fast that no book could keep up.

[magoghm]

Another book which also seems to be very good is "Deep Learning, Foundations and Concepts". It is coming out soon and you can already preview it on-line at https://www.bishopbook.com/

[randcraw]

Prince's other writings have been outstanding. Based on the relative opacity of Bishop's venerable PRML, I'd turn to Prince's book before I would Bishop's newest.