
Deep Learning with Python
by Francois Chollet, Matthew Watson · first published 2017
64mentions
36recommended by
53HN commenters
2016–2026first – last mentioned
68% recommend30% neutral2% critical
Why HN recommends it
Accessible, hands-on introduction to deep learning with Keras, written in plain language with light math and practical examples; suits beginners and programmers who want to build working models quickly.
Summarised by Claude from recommending comments
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…and NLP. Play with weight regularization, batch norm and group norm, different learning rates, etc. If you really want to get deep into things, learn some CUDA programming too. I really like Chollet’s Deep Learning with Python. After that, do what you want to do. Time series, graphical models, reinforcement learning— the field’s exploded beyond simple image classification. Good luck!
on “Ask HN: Full-on machine learning for 2020, what are the best resources?” ↗Francois Cholet (author of Keras)'s Deep Learning with Python will be complete and fully published on the 20th of December: https://www.manning.com/books/deep-learning-with-python The chapters released so far are very good, the outlook chapters were extensively…
on “Ask HN: CS and programming books of 2017” ↗> What should I choose, pytorch or keras? I know this is off-topic, but you can't go wrong with Keras. "Deep Learning with Python" by Francois Chollet (the creator of Keras) is a Kernighan-level book. A book like this comes around once a decade (or two). If you decide to go for it though, make sure you don't follow its instructions…
on “I interviewed at six top companies in Silicon Valley in six days” ↗I loved Deep Learning with Python by François Chollet -- the creator of Keras https://www.manning.com/books/deep-learning-with-python An excellent, coherent overview with working code to train a variety of neural networks.
on “Ask HN: What Neural Networks/Deep Learning Books Should I Read?” ↗I have Deep Learning with Python (Chollet, first edition) and Hands-On Machine Learning (Géron, first edition). Both books are highly recommended. Introduction to Statistical Learning is also available for free online: http://faculty.marshall.usc.edu/gareth-james/ISL/…
on “Best Data Science Books According to the Experts” ↗I would highly recommend going through François chollet's Deep Learning with Python[1] book. The technical concepts are explained very well and since you have gone through the Modern AI book you won't have an issue understanding them. It's a very hands-on book and by the time you finish…
on “Organized Resources for Deep Learning Researchers and Developers” ↗For a very practical introduction to deep learning with Keras, I recommend Deep Learning with Python by François Chollet, https://www.manning.com/books/deep-learning-with-python. For a general context, my post "Learning Deep Learning with Keras" https://p.migdal.pl/2017/04/30/teaching-deep-learning.html…
on “Deep Learning Basics with Python, TensorFlow and Keras” ↗Deep Learning with Python by Francois Chollet is very accessible as an introductory text. It uses plain language, avoids heavy math, and provides hands-on experience for the reader. In general, I have found Manning to be one…
on “Best Deep Learning Books” ↗Consider the free PDF of Chollet's "Deep Learning with Python" and/or www.fast.ai
on “Ask HN: Who has been laid off?” ↗I wholeheartedly second "Deep Learning with Python" by François Chollet! It's an excellent 'zero-to-hero' text for understanding deep neural networks, some common architectures, and the code (and theory) to get them to work. One thing missing is how…
on “Best Data Science Books According to the Experts” ↗I found the Manning book 'Deep Learning with Python' by François Chollet (creator of Keras) a fantastically digestible and practical intro.
on “Microsoft R&D grows to 8k people in massive bet on artificial intelligence” ↗I cannot recommend Deep Learning with Python [0] enough. It is written by the author of the Keras library. [0]: https://www.manning.com/books/deep-learning-with-python
on “A Course in Machine Learning” ↗I found this book to be the most approachable Deep Learning book that actually helped me build something. https://www.manning.com/books/deep-learning-with-python
on “Ask HN: What's your quarantine side project?” ↗While there are some good picks (especially "An Introduction to Statistical Learning with Applications in R" and "Deep Learning with Python" by Chollet, the Keras author), I am surprised it is missing "Information Theory, Inference, and Learning Algorithms" by David MacKay (http://www.inference.org.uk/itila/book.html). The "Bayesian Inference…
on “Best Data Science Books According to the Experts” ↗If you are just starting with ML a very good start IMO is "Deep learning with Python", by Chollet. The second edition is very recent. It starts from the basics and takes you to some complex scenarios. It's focused primarily on Keras, which is a very to use library to start from. The…
on “This Music Video Does Not Exist [video]” ↗