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Deep Learning with Python, Second Edition


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About the Author

François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning  Representations (ICLR), and others.


"The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. " Todd Cook   "Really easy to read and gives practical examples and easy to understand explanations of the concepts behind deep learning." Billy O'Callaghan   "A tell-tale book that tells you all the secrets of deep learning!" Nikos Kanakaris   "A great refresher of the old concepts explored in new and exciting ways. Manifold hypothesis steals the show!" Sayak Paul   "One of the best books on this topic." Rauhsan Jha   "The book is full of insights, useful both for the novice and the more experienced machine learning professional."  Viton Vitanis   "This is the book to read if you want to learn DL."  Kjell Jansson   "Francois explains everything in a very lucid & systematic manner, this approach of writing certainly gives confidence in users."  Rauhsan Jha

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