{"product_id":"deep-learning-with-python-third-edition","title":"Deep Learning with Python, Third Edition","description":"\u003cb\u003eThe bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003ci\u003eDeep Learning with Python, Third Edition\u003c\/i\u003e puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eDeep Learning with Python, Third Edition\u003c\/i\u003e you'll discover: \u003cp\u003e\u003c\/p\u003e - Deep learning from first principles\u003cbr\u003e - The latest features of Keras 3\u003cbr\u003e - A primer on JAX, PyTorch, and TensorFlow\u003cbr\u003e - Image classification and image segmentation\u003cbr\u003e - Time series forecasting\u003cbr\u003e - Large Language models\u003cbr\u003e - Text classification and machine translation\u003cbr\u003e - Text and image generation--build your own GPT and diffusion models!\u003cbr\u003e - Scaling and tuning models \u003cp\u003e\u003c\/p\u003e With over 100,000 copies sold, \u003ci\u003eDeep Learning with Python\u003c\/i\u003e makes it possible for developers, data scientists, and machine learning enthusiasts to put deep learning into action. 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. In this new edition, Keras creator François Chollet invites you into this amazing subject in the fluid, mentoring style of a true insider. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eDeep Learning with Python, Third Edition\u003c\/i\u003e makes the concepts behind deep learning and generative AI understandable and approachable. This complete rewrite of the bestselling original includes fresh chapters on transformers, building your own GPT-like LLM, and generating images with diffusion models. 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.","brand":"Matthew Watson, Francois Chollet","offers":[{"title":"Paperback","offer_id":47286918873324,"sku":"9781633436589","price":106.65,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0684\/1791\/3068\/files\/9781633436589.jpg?v=1770467160","url":"https:\/\/intl.allstora.com\/products\/deep-learning-with-python-third-edition","provider":"Allstora","version":"1.0","type":"link"}