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Hands-On Generative AI with Transformers and Diffusion Models
Livraison
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Livraison entre le Samedi 11 juillet 2026 et le Lundi 13 juillet 2026
À propos de cet article :
Marque : GENERIC
Vendu par HEAVENBOOKS.MA
Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different dom...
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Description produit
- Marque
- GENERIC
- Titre principal
- Hands-On Generative AI with Transformers and Diffusion Models
- Editeur
- O'Reilly Media
- Type de produit
- paperback
- Présentation du livre
- paperback
- Release date
- 12/31/2024 12:00:00 AM
- Langue d'origine
- English
- ISBN
- 1098149246
- Dimensions
- 7 x 0.85 x 9.19 inches
- Nombre de pages de livre
- 416 pages
- Langue - Librairie
- English
- Résumé
- Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains. This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work. Build and customize models that can generate text and images Explore trade-offs between using a pretrained model and fine-tuning your own model Create and utilize models that can generate, edit, and modify images in any style Customize transformers and diffusion models for multiple creative purposes Train models that can reflect your own unique style Read more
- Auteur(s)
- Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker
- Date de parution
- 12/31/2024 12:00:00 AM









