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[ DevCourseWeb.com ] Hands-On Generative AI with Transformers and Diffusion Models, 6th Early Release
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English | September 6, 2024 | ISBN: 1098149246 | EPUB | 419 pages | 28.7 MB
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 techniques
Build and customize models that can generate text, images, and sound
Explore trade-offs between training from scratch and using large, pretrained models
Create models that can modify images by transferring the style of other images
Tweak and bend transformers and diffusion models for creative purposes
Train a model that can write text based on your style
Deploy models as interactive demos or services
Download from free file storage
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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com
English | September 6, 2024 | ISBN: 1098149246 | EPUB | 419 pages | 28.7 MB
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 techniques
Build and customize models that can generate text, images, and sound
Explore trade-offs between training from scratch and using large, pretrained models
Create models that can modify images by transferring the style of other images
Tweak and bend transformers and diffusion models for creative purposes
Train a model that can write text based on your style
Deploy models as interactive demos or services
Download from free file storage
NITROFLARE
RAPIDGATOR
Say “Thank You”
Get Latest Tips and Tricks and Support Us -->> https://DevCourseWeb.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
