Deep Learning with Javascript: Example-Based Approach

Very good, with a few caveats. The core material is strong.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Recommended, with the caveat that it is not a gentle introduction.

Recommended, with the caveat that it is not a gentle introduction.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The code samples assume a particular environment, which took a bit of fiddling to get running properly. I found myself making notes in the margins, which is always a good sign. Four stars, and I suspect a second edition could easily push it to five.

This is the one to get if you are serious about ai & machine learning.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. I particularly liked the way the author builds up from simple cases before introducing the harder material. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. This is the book I wish had existed when I started working with ai & machine learning.