Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders

A useful guide. The examples assume a particular environment, but that is fixable.

I had been on the fence about this one for a while, and I should have bought it sooner. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. A good addition to a technical library, as long as you know what you are buying.

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

I came to this book already familiar with the basics, and it still had plenty to offer. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The author is unusually honest about where the simplifications break down, which I appreciated. Borrow it first if you can, or at least check the table of contents carefully before buying.

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. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The index and cross-references are surprisingly good, which matters for a book I will come back to. The index and cross-references are surprisingly good, which matters for a book I will come back to. An easy five stars from me. I look forward to whatever the author writes next.