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Hands-On Generative AI with Transformers and Diffusion Models (First Early Release) PDF

02023·5.767 MB·English
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About Hands-On Generative AI with Transformers and Diffusion Models (First Early Release)

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.Learn the fundamentals of classic and modern generative AI techniquesBuild and customize models that can generate text, images, and soundExplore trade-offs between training from scratch and using large, pretrained modelsCreate models that can modify images by transferring the style of other imagesTweak and bend transformers and diffusion models for creative purposesTrain a model that can write text based on your styleDeploy models as interactive demos or services

Detailed Information

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Author:Pedro Cuenca, Apolinário Passos, Omar Sanseviero, and Jonathan Whitaker
Publication Year:2023
ISBN:9781098149246
Language:English
File Size:5.767
Format:PDF
Price:FREE
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.