Deep Learning with Javascript: Example-Based Approach

Mixed feelings. The good parts are genuinely good; the rest is forgettable.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. I particularly liked the way the author builds up from simple cases before introducing the harder material. A couple of chapters felt like they could have been merged, but that is a minor complaint. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Borrow it first if you can, or at least check the table of contents carefully before buying.

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. A couple of chapters felt like they could have been merged, but that is a minor complaint. 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. Good value for the price and worth the time it takes to work through properly.

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

I had been on the fence about this one for a while, and I should have bought it sooner. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. 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. Borrow it first if you can, or at least check the table of contents carefully before buying.