PyTorch in 20 Minutes - Coffee Break Series (Paperback)

Outstanding. I kept finding reasons to come back to it.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. Some of the material is available elsewhere, but rarely presented this clearly. Some terminology is introduced without much ceremony; I had to look a few things up along the way. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

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 progression from chapter to chapter is well thought out; nothing feels out of order. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Recommended, with the caveat that it is not a gentle introduction.

Genuinely excellent — I finished it in a week and immediately started again.

This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. The explanations are careful without being condescending, which is a difficult balance to strike. The code samples assume a particular environment, which took a bit of fiddling to get running properly. 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.