The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!
Deep Learning with Python, Third Edition 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.
In Deep Learning with Python, Third Edition you’ll discover:
• Deep learning from first principles
• The latest features of Keras 3
• A primer on JAX, PyTorch, and TensorFlow
• Image classification and image segmentation
• Time series forecasting
• Large Language models
• Text classification and machine translation
• Text and image generation—build your own GPT and diffusion models!
• Scaling and tuning models
With over 100,000 copies sold, Deep Learning with Python 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 François Chollet 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.
About the book
Deep Learning with Python, Third Edition introduces deep learning from scratch. Each chapter introduces practical code examples that build up your understanding of deep learning layer by layer. You’ll appreciate the intuitive explanations, crisp color illustrations, and clear examples. In this expanded third edition you’ll find fresh chapters on the transformers architecture, building your own GPT-like large language model, and image generation with diffusion models. Plus, even DL veterans will benefit from the insightful explanations on the nature of deep learning.
About the reader
For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.
About the author
François Chollet is a software engineer at Google and creator of the Keras deep learning library.
Matthew Watson is a core maintainer of the Keras deep learning library, focusing primarily on tools for Natural Language Processing.
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
François Chollet is a software engineer at Google and creator of the Keras deep learning library.
Matthew Watson is a core maintainer of the Keras deep learning library, focusing primarily on tools for Natural Language Processing.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: INDOO, Avenel, NJ, U.S.A.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxuryit is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by Francois Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise. Deep Learning with Python, Third Edition 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781633436589
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxury-it is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by François Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise. Codice articolo LU-9781633436589
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Da: Russell Books, Victoria, BC, Canada
paperback. Condizione: New. 3rd Edition. Special order direct from the distributor. Codice articolo ING9781633436589
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 3rd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock. Codice articolo xr1633436586
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