Isbn: 9798264613111 - generative ai with pytorch: the complete hands-on guide to gans, vaes, diffusion, and large language models (9 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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Paperback. Condizione: new. Paperback. Generative AI with PyTorch is a complete, hands-on guide for engineers, researchers, and applied practitioners who want to build modern generative systems - from GANs and VAEs to diffusion models and large language models. Packed with clear theory, practical design patterns, and production-ready PyTorch code, this book shows you not only what works, but why - and how to make it work in real projects.Inside you'll find: - concise math and intuition for each model family;- end-to-end PyTorch implementations and debugging recipes;- practical chapters on training stability, evaluation, scaling, and deployment;- chapters on multimodal models, audio/speech, and ethical safeguards.Whether you're prototyping photorealistic image synthesis, building a text generation pipeline, or deploying generative systems at scale, Nicholas Clarke gives you the tools and checklists to move from experiments to reliable products. Hands-on exercises, sample code, and diagnostic workflows make this an ideal reference for self-learners and engineering teams alike.Buy this book to master modern generative architectures, accelerate experiments with production patterns, and ship responsible AI systems using PyTorch. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. Generative AI with PyTorch is a complete, hands-on guide for engineers, researchers, and applied practitioners who want to build modern generative systems - from GANs and VAEs to diffusion models and large language models. Packed with clear theory, practical design patterns, and production-ready PyTorch code, this book shows you not only what works, but why - and how to make it work in real projects.Inside you'll find: - concise math and intuition for each model family;- end-to-end PyTorch implementations and debugging recipes;- practical chapters on training stability, evaluation, scaling, and deployment;- chapters on multimodal models, audio/speech, and ethical safeguards.Whether you're prototyping photorealistic image synthesis, building a text generation pipeline, or deploying generative systems at scale, Nicholas Clarke gives you the tools and checklists to move from experiments to reliable products. Hands-on exercises, sample code, and diagnostic workflows make this an ideal reference for self-learners and engineering teams alike.Buy this book to master modern generative architectures, accelerate experiments with production patterns, and ship responsible AI systems using PyTorch. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…