{"product_id":"deep-learning-with-python-second-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\u003cbr\u003e\u003cbr\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.\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eDeep Learning with Python, Third Edition\u003c\/i\u003e you’ll discover:\u003cul\u003e\n\u003cli\u003eDeep learning from first principles\u003c\/li\u003e\n\u003cli\u003eThe latest features of Keras 3\u003c\/li\u003e\n\u003cli\u003eA primer on JAX, PyTorch, and TensorFlow\u003c\/li\u003e\n\u003cli\u003eImage classification and image segmentation\u003c\/li\u003e\n\u003cli\u003eTime series forecasting\u003c\/li\u003e\n\u003cli\u003eLarge Language models\u003c\/li\u003e\n\u003cli\u003eText classification and machine translation\u003c\/li\u003e\n\u003cli\u003eText and image generation—build your own GPT and diffusion models!\u003c\/li\u003e\n\u003cli\u003eScaling and tuning models\u003c\/li\u003e\n\u003c\/ul\u003eWith 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003cbr\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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eHands-on, code-first learning\u003c\/li\u003e\n\u003cli\u003eComprehensive, from basics to generative AI\u003c\/li\u003e\n\u003cli\u003eIntuitive and easy math explanations\u003c\/li\u003e\n\u003cli\u003eExamples in Keras, PyTorch, JAX, and TensorFlow\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eFor readers with intermediate Python skills. No previous experience with machine learning or linear algebra required.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cbr\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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e1 What is deep learning?\u003cbr\u003e2 The mathematical building blocks of neural networks\u003cbr\u003e3 Introduction to TensorFlow, PyTorch, JAX, and Keras\u003cbr\u003e4 Classification and regression\u003cbr\u003e5 Fundamentals of machine learning\u003cbr\u003e6 The universal workflow of machine learning\u003cbr\u003e7 A deep dive on Keras\u003cbr\u003e8 Image classification\u003cbr\u003e9 ConvNet architecture patterns\u003cbr\u003e10 Interpreting what ConvNets learn\u003cbr\u003e11 Image segmentation\u003cbr\u003e12 Object detection\u003cbr\u003e13 Timeseries forecasting\u003cbr\u003e14 Text classification\u003cbr\u003e15 Language models and the Transformer\u003cbr\u003e16 Text generation\u003cbr\u003e17 Image generation\u003cbr\u003e18 Best practices for the real world\u003cbr\u003e19 The future of AI\u003cbr\u003e20 Conclusions","brand":"None","offers":[{"title":"Paperback (2025)","offer_id":46255395995858,"sku":"9781633436589","price":106.99,"currency_code":"CAD","in_stock":true},{"title":"Paperback (2021)","offer_id":46255395963090,"sku":"9781617296864","price":79.99,"currency_code":"CAD","in_stock":false},{"title":"Kobo eBook (2021)","offer_id":46255396028626,"sku":"05b2bfe4-3e7d-3921-8d3f-ea6cde854142","price":59.99,"currency_code":"CAD","in_stock":true},{"title":"Kobo eBook (2025)","offer_id":46717143482578,"sku":"f5ea1332-cf57-32dc-9a4a-47bffcc22def","price":90.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/1_73ce7fb8-e505-4a4e-a6d5-a3980babcf00.jpg?v=1763715758","url":"https:\/\/www.indigo.ca\/products\/deep-learning-with-python-second-edition","provider":"Indigo","version":"1.0","type":"link"}