I've seen quite a few of these books attempting to explain deep learning from a mathematical perspective and it always surprises me. Deep learning is clearly an empirical science for the time being, and very little theoretical work that has been so impactful that I would think to include it in a book. Of the such books I've seen, this one seems like actively the worst one. A significant amount of space is dedicated to proving lemmas that provide no additional understanding and are only loosely related to deep learning. And a significant chunk of the code I see is just the plotting code, which I don't even understand why you'd include. I'm confident that very few people will ever read significant chunks of this.
I think the best textbooks are still Deep Learning by Goodfellow etal and the more modern Understanding Deep Learning (https://udlbook.github.io/udlbook/).
I think the best textbooks are still Deep Learning by Goodfellow etal and the more modern Understanding Deep Learning (https://udlbook.github.io/udlbook/).