Top positive review
The best book in the academic genre
Reviewed in the United States on October 4, 2018
This is a fantastic book from the academic perspective, and has
quite a bit for practitioners too in terms of conceptual understanding.
Considering the fact that it is a mathematically intensive book,
it is relatively easy to understand. Not an implementation book, but great for
deeply understanding concepts. The book has managed to provide
discussions of the architecture of lots of real-world applications of neural
networks in text, images, among others, which is good for
practitioners. Certainly, hands down better than the Goodfellow book,
the only other directly comparable book out there in terms of style
and material covered.