SKU/Artículo: AMZ-B0FQDW4CMF
Generative AI with PyTorch: The Complete Hands-On Guide to GANs, VAEs, Diffusion, and Large Language Models
Format:
Kindle
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.76 kg
0.76 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- 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.
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AR$25.624
49% OFF
AR$13.141
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