Ian GoodfellowCritiques
Auteur de Deep Learning
Critiques
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The book is 150 pages of background (stats, linear algebra), 300 pages of applications, and 200 pages of research topics. The applications section is the meat of the book: the background you might already know, and the research topics are mostly of interest only to fellow machine learning researchers.
Take note that this is a theoretical book. I read it in tandem with [b:Hands-On Machine Learning with Scikit-Learn and TensorFlow|32899495|Hands-On Machine Learning with Scikit-Learn and TensorFlow|Aurélien Géron|https://images.gr-assets.com/books/1478536137s/32899495.jpg|53513052], almost chapter-for-chapter. The Scikit-Learn and Tensorflow example code, while only moderately interesting on its own, helped to clarify the purpose of many of the topics in the Goodfellow book.