Deep Learning with Javascript: Example-Based Approach

Excellent from start to finish. No filler, no padding.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The code samples assume a particular environment, which took a bit of fiddling to get running properly. I particularly liked the way the author builds up from simple cases before introducing the harder material. The explanations are careful without being condescending, which is a difficult balance to strike. This is the book I wish had existed when I started working with ai & machine learning.

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. Some terminology is introduced without much ceremony; I had to look a few things up along the way. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. I have already recommended it to two colleagues and will recommend it to more.

Three stars feels about right. Useful, but not essential.

I have been working with ai & machine learning for a few years now and I still found plenty here that was new to me. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The writing is direct and does not waste space on filler, which I value in a technical book. Fine, but there are stronger books on the same subject if you look around.