PyTorch in 20 Minutes - Coffee Break Series (Paperback)

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 balance between theory and practice is well judged; neither side dominates. A few of the examples could be more realistic, but the underlying points come across clearly. The balance between theory and practice is well judged; neither side dominates. An easy five stars from me. I look forward to whatever the author writes next.

Solid and well-organised. A couple of chapters dragged a little.

This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. Some of the material is available elsewhere, but rarely presented this clearly. A couple of chapters felt like they could have been merged, but that is a minor complaint. The balance between theory and practice is well judged; neither side dominates. Four stars, and I suspect a second edition could easily push it to five.

A worthwhile addition to my shelf, with realistic expectations.

I came to this book already familiar with the basics, and it still had plenty to offer. 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. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.