Generative Adversarial Networks (GANs) Explained

This is the one to get if you are serious about research.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. An easy five stars from me. I look forward to whatever the author writes next.

Not quite what I expected from the description, but there is material here.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. A few of the examples could be more realistic, but the underlying points come across clearly. There is a section near the end that ties several earlier ideas together in a way I had not seen before. Useful as a reference, less so as a straight read from cover to cover.

The clearest explanation of research I have come across.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The index and cross-references are surprisingly good, which matters for a book I will come back to. The explanations are careful without being condescending, which is a difficult balance to strike. The balance between theory and practice is well judged; neither side dominates. One of those books that pays for itself within the first few chapters. Highly recommended.