[N] Early access to deep learning book by Keras author • r/MachineLearning

Honest question, and I'm really not trying to be adversarial, but what has Francois actually done that would merit him writing a book on DL? Keras is good for the community because it's accessible, even people who don't like it for research generally agree on that, and he has a high kaggle score, and a paper or two that look like a promising start to a research career (though Xception is IMO incremental it's still a decent paper). To me, this honestly seems like him riding the popularity of Keras for a moneygrab, practically on par with that PyImageSearch dude. Counterpoint: the Goodfellow DL book is a regular ole textbook; Maybe the point of this is that it abstracts most of the details and gives a higher level overview that's targeted at laymen? Briefly browsing the table of contents, it looks like a list of "topics that have recently been popular and that you might like to play with or build a neat applet with." Counter counterpoint: To me that doesn't merit wasting ink and paper, especially when there are so many solid resources and tutorials people have put out on the internet.