Deep Learning with Javascript: Example-Based Approach

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The author is unusually honest about where the simplifications break down, which I appreciated. Worth the money and the reading time, without hesitation.

Well worth picking up if you already have the basics.

I have been working with ai & machine learning for a few years now and I still found plenty here that was new to me. I particularly liked the way the author builds up from simple cases before introducing the harder material. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Four stars, and I suspect a second edition could easily push it to five.

Decent, but uneven. Some chapters are much stronger than others.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. It is denser than the page count suggests, and I found myself slowing down around the middle. I particularly liked the way the author builds up from simple cases before introducing the harder material. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Fine, but there are stronger books on the same subject if you look around.