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In this expanded and updated third edition, Keras creator \u003cb\u003eFrançois Chollet\u003c\/b\u003e offers insights for both novice and experienced machine learning practitioners. You'll master state-of-the-art deep learning tools and techniques, from the latest features of Keras 3 to building AI models that can generate text and images. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e In less than a decade, deep learning has changed the world--twice. First, Python-based libraries like Keras, TensorFlow, and PyTorch elevated neural networks from lab experiments to high-performance production systems deployed at scale. And now, through Large Language Models and other generative AI tools, deep learning is again transforming business and society. 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Each chapter introduces practical projects and code examples that build your understanding of deep learning, layer by layer. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e - Hands-on, code-first learning\u003cbr\u003e - Comprehensive, from basics to generative AI\u003cbr\u003e - Intuitive and easy math explanations\u003cbr\u003e - Examples in Keras, PyTorch, JAX, and TensorFlow \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For readers with intermediate Python skills. No previous experience with machine learning or linear algebra required. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eFrançois Chollet\u003c\/b\u003e is the co-founder of Ndea and the creator of Keras. \u003cb\u003eMatthew Watson\u003c\/b\u003e is a software engineer at Google working on Gemini and a core maintainer of Keras. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e 1 What is deep learning?\u003cbr\u003e 2 The mathematical building blocks of neural networks\u003cbr\u003e 3 Introduction to TensorFlow, PyTorch, JAX, and Keras\u003cbr\u003e 4 Classification and regression\u003cbr\u003e 5 Fundamentals of machine learning\u003cbr\u003e 6 The universal workflow of machine learning\u003cbr\u003e 7 A deep dive on Keras\u003cbr\u003e 8 Image classification\u003cbr\u003e 9 ConvNet architecture patterns\u003cbr\u003e 10 Interpreting what ConvNets learn\u003cbr\u003e 11 Image segmentation\u003cbr\u003e 12 Object detection\u003cbr\u003e 13 Timeseries forecasting\u003cbr\u003e 14 Text classification\u003cbr\u003e 15 Language models and the Transformer\u003cbr\u003e 16 Text generation\u003cbr\u003e 17 Image generation\u003cbr\u003e 18 Best practices for the real world\u003cbr\u003e 19 The future of AI\u003cbr\u003e 20 Conclusions \u003cp\u003e\u003c\/p\u003e Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.\u003cdiv style=\"display:none\"\u003eISBN-10: 1633436586\u003cbr\u003eISBN-13: 9781633436589\u003cbr\u003eAuthor: Chollet, Francois, Watson, Matthew\u003cbr\u003ePublisher: Manning Publications\u003cbr\u003e\n\u003c\/div\u003e","brand":"Manning Publications","offers":[{"title":"Paperback (Nov 2025)","offer_id":46080988414149,"sku":"9781633436589","price":75.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6414\/2533\/files\/9781633436589.jpg?v=1776042632"},{"product_id":"deep-learning","title":"Deep Learning","description":"\u003cb\u003eAn accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.\u003c\/b\u003e\u003cp\u003eDeep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. 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