{ "products": [ { "slug": "deep-learning-with-python", "name": "Deep Learning with Python, Third Edition", "kind": "book", "website": "https://www.manning.com/books/deep-learning-with-python-third-edition", "page": "https://listme.name/books/deep-learning-with-python", "tagline": "Hands-on Python deep learning guide covering Keras 3, PyTorch and JAX", "summary": "Deep Learning with Python, Third Edition, is written by François Chollet and Matthew Watson. Manning published it in September 2025, with 648 pages, and it teaches deep learning and generative AI with Keras 3, PyTorch and JAX. Manning sells print, PDF and ePub editions.", "author": "François Chollet and Matthew Watson", "formats": [ "pdf", "epub", "print" ], "pricing": "paid", "price_note": "Print and eBook sold by Manning; no free full text", "free_to_use": false, "open_source": false, "strengths": [ "Hands-on Python code with Keras 3", "Covers generative AI in the third edition", "Current, published September 2025" ], "limits": [ "Paid, with no free full text", "Light on the mathematics behind the models" ], "checked": "2026-10-10", "connected_to_publisher": false, "cover": "https://listme.name/assets/covers/deep-learning-with-python.webp", "overview": "The book moves from the core ideas of neural networks to training models in Keras, then to computer vision, text and generative models. The third edition adds generative AI and the Keras 3 API, which runs on TensorFlow, JAX and PyTorch. Chollet created Keras, and the book is organized as a working guide for Python developers.\n\nThe publisher lists the source code on GitHub and sells the book in print, as an eBook in PDF and ePub, and in an online format. It suits developers who want to build and train models in Python. It is lighter on theory than the Goodfellow text, so readers who need the mathematics should pair it with a formal text." }, { "slug": "hands-on-machine-learning", "name": "Hands-On Machine Learning", "kind": "book", "website": "https://openlibrary.org/works/OL20709638W", "page": "https://listme.name/books/hands-on-machine-learning", "tagline": "Practical machine learning with scikit-learn, Keras and TensorFlow", "summary": "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is a book by Aurélien Géron, published by O'Reilly Media. Its subtitle is Concepts, Tools, and Techniques to Build Intelligent Systems. The 2022 O'Reilly editions in the Open Library record run to about 850 pages.", "developer": "O'Reilly Media", "author": "Aurélien Géron", "formats": [ "print" ], "pricing": "paid", "price_note": "Print editions from O'Reilly; price varies by seller", "free_to_use": false, "open_source": false, "strengths": [ "Teaches methods through code", "Covers scikit-learn, Keras and TensorFlow", "Recent 2022 edition" ], "limits": [ "Less mathematical depth than the theory texts", "No free full text online" ], "checked": "2026-10-10", "connected_to_publisher": false, "cover": "https://listme.name/assets/covers/hands-on-machine-learning.webp", "overview": "The book teaches machine learning in Python with three libraries. Scikit-learn covers classical models, and Keras and TensorFlow cover neural networks, so readers see both kinds of method in code. The subtitle frames it as concepts, tools and techniques for building intelligent systems, and the hands-on method is central to how it teaches.\n\nO'Reilly publishes it in print, and the 2022 editions in the Open Library record run to about 850 pages. It is not free to read online. The book gives less mathematical depth than the theory texts in this list, but it is more practical than most of them, which makes it a useful companion to Deep Learning and Probabilistic Machine Learning." } ], "differences": [], "shared_rankings": [ { "list": "ai-and-machine-learning-books", "name": "AI and machine learning books", "page": "https://listme.name/best/ai-and-machine-learning-books", "of": 13, "results": [ { "product": "deep-learning-with-python", "rank": 5, "score": 88.5, "verdict": "The strongest paid pick for writing deep learning code in Python, with Keras 3 and generative AI in the third edition. It has no free text and less theory than the free books above.", "best_for": "Practical deep learning code in Python", "spec": { "level": "Intermediate", "free_online": false, "latest_edition": "3rd edition, September 2025", "math_depth": "Light: basic Python and algebra" } }, { "product": "hands-on-machine-learning", "rank": 6, "score": 87, "verdict": "Practical code for classical models and neural networks, built on scikit-learn, Keras and TensorFlow. It is paid with no free text, and it goes less deep into theory than the books above it.", "best_for": "Building models with scikit-learn and TensorFlow", "spec": { "level": "Intermediate", "free_online": false, "latest_edition": "2022, O'Reilly", "math_depth": "Light: basic Python and algebra" } } ] } ], "ranks_higher_in_closest_shared_list": "deep-learning-with-python", "page": "https://listme.name/compare/deep-learning-with-python-vs-hands-on-machine-learning", "json": "https://listme.name/api/v1/compare/deep-learning-with-python-vs-hands-on-machine-learning.json", "notes": [ "Scores are editorial and only comparable inside one list. Products with connected_to_publisher true receive a disclosed ranking lift: https://listme.name/methodology" ], "source": "https://listme.name", "license": "Free to read and cite with attribution to listme.name.", "docs": "https://listme.name/developers" }