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{ "item_title" : "Generative AI with PyTorch", "item_author" : [" Nicholas Clarke "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/826/461/9798264613111_b.jpg", "price_data" : { "retail_price" : "23.99", "online_price" : "23.99", "our_price" : "23.99", "club_price" : "23.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Generative AI with PyTorch|Nicholas Clarke

Generative AI with PyTorch : The Complete Hands-On Guide to GANs, VAEs, Diffusion, and Large Language Models

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Overview

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 Non-Returnable

Details

  • ISBN-13: 9798264613111
  • ISBN-10: 9798264613111
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 9 x 6 x 1 inches
  • Shipping Weight: 1.45 pounds
  • Page Count: 496

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