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Author Cuenca, Pedro, author.

Title Hands-on generative AI with transformers and diffusion models / by Pedro Cuenca, Apolinário Passos, Omar Sanseviero, and Jonathan Whitaker.

Edition First edition.
Publication Info. Sebastopol, CA : O'Reilly Media, Inc., 2024.
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Description 1 online resource (450 pages) : illustrations
Bibliography Includes bibliographical references.
Summary Learn how to use generative media techniques with AI to create novel images or music in this practical, hands-on guide. Data scientists and software engineers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to your needs, and how to combine existing building blocks to create new models and creative applications in different domains. This book introduces theoretical concepts in an intuitive way, with extensive code samples and illustrations that you can run on services such as Google Colaboratory, Kaggle, or Hugging Face Spaces with minimal setup. You'll learn how to use open source libraries such as Transformers and Diffusers, conduct code exploration, and study several existing projects to help guide your work.
Subject Artificial intelligence.
Intelligence artificielle.
artificial intelligence.
Added Author Passos, Apolinario, author.
Sanseviero, Omar, author.
Whitaker, Jonathan, author.
Added Title Hands-on generative artificial intelligence with transformers and diffusion models
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