I really like Aggarwal's "Neural Networks and Deep Learning". I recommend it highly. (At least this summer Springer was giving away a PDF - not sure if that's

I really like Aggarwal's "Neural Networks and Deep Learning". I recommend it highly. (At least this summer Springer was giving away a PDF - not sure if that's still true.) To me, Goodfellow et al. spent the first hundred and fifty pages on stuff which is important, but covered better elsewhere (e.g., probability theory, numerical methods) and didn't belong in their book at all. Simultaneously, I didn't get that much out of the "core" chapters on RNNs, CNNs, etc, relative to what I got out of other books. I think the book is somewhat overrated, frankly, but YMMV!