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Deep Learning (Adaptive Computation and Machine Learning Series) Hardcover – 3 Jan 2017
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[T]he AI bible... the text should be mandatory reading by all data scientists and machine learning practitioners to get a proper foothold in this rapidly growing area of next-gen technology.--Daniel D. Gutierrez, insideBIGDATA
About the Author
Ian Goodfellow is a Research Scientist at Google. Yoshua Bengio is Professor of Computer Science at the Universite de Montreal. Aaron Courville is Assistant Professor of Computer Science at the Universite de Montreal.
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The rewarding book is Chollet's. This one by Goodfellow is better suited to experts in the field, to have an excellent reference book in their hands.
The reason for my poor review is that the quality of the actual book (binding, paper, etc.) is very poor. I was shocked at the numerous issues in this respect and I am worried that the book will not last.
Of course, even though the book is long (700+ pages) it ends up feeling too short because each sub-field might only get 20-30 pages, but the book does give a good enough grounding to start a literature research, and highlighting hte key papers and insights. For myself, what has bee most valuable is seeing how it all fits together, which reading a random paper is hard to get.
Of course, there are lots of videos/courses/books out there, but this is the only one I've seen that is as comprehensive as this book. I've read it to cover-to-cover, and it is proving a great foundation to go and read more practical books and do projects using Tensorflow/Keras etc. Highly recommend.