SKU: 18162180969

Hands-On Generative AI with Transformers and Diffusion Models (Full Colour Edition)

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Description

Hands-On Generative AI with Transformers and Diffusion Models (Full Colour Edition)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 guided practical applications, with

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 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
About the AuthorOmar Sanseviero was the Chief Llama Officer and Head of Platform and Community at Hugging Face, leading the developer advocacy engineering, on-device, and moonshot teams. Omar has extensive engineering experience working at Google in Google Assistant and TensorFlow Graphics. Omars work at Hugging Face was at the intersection of open source, product, research, and technical communities.Pedro Cuenca is a Machine Learning Engineer at Hugging Face working on diffusion software, models, and applications. He has 20+ years of software development experience in fields like Internet applications (in Spain, he helped create the first interactive educational portal, the first book store, and the first free ISP) and, more recently, iOS. As a co-founder and CTO of LateNiteSoft, he worked on the technology behind Camera+, a successful iPhone photography app. He created deep-learning models for tasks such as photography enhancement and super-resolution. He was also involved in the development and operations behind dalle-mini. He brings a practical vision of integrating AI research into real-world services and the challenges and optimizations involved.Apolinário Passos is a Machine Learning Art Engineer at Hugging Face working across different teams on multiple machine learning for art and creativity use-cases. Apolinario has 10+ years of professional and artistic experience, alternating between holding art exhibitions, coding, and product management, having been a Head of Product in World Data Lab. Apolinario aims to ensure that the ML ecosystem supports and makes sense for artistic use cases.Jonathan Whitaker is a data scientist and deep learning researcher focused on generative modeling. He has previously worked on several courses related to the topics covered in this book, including the Hugging Face diffusion models class and Fast.AI's 'From Deep Learning Foundations to Stable Diffusion' which he co-created with Jeremy Howard in 2022. He has also applied these techniques in industry during his time as a consultant and now works full-time on AI research and development at Answer.AI.

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SKU: 18162180969

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Ryan S
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Good option, especially in warmer weather
Size: 6-10, Color: Black
High quality socks and very durable. Nice touch adding the grip on the back of the ankle so the sock stays up. Size is a true fit to the size of your foot as well.
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Patricia
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Love these socks!
Size: 6-10, Color: White
Comfortable, no show, and most importantly The Do No Slip!!!! I keep coming back to add to my supply because they have become the only sock I wear. I’ve been using them for a couple years now and they hold to great to washing, bleaching and the dryer. Highly recommended.
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Reviewed in the United States on July 24, 2024
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BoyMom
Lexington, US
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The only socks I will buy
Size: 6-10, Color: Halo Gray/Assorted
These are hands down my favorite socks to wear with tennis shoes. Bought my original 6 pack in the store, liked them so much I went buy more and they were gone. These don't slip on your heel like most socks do. Come up high enough on the top of your foot to protect from tongue rubbing (I giggled when I wrote that) and they come in fun colors. Love they are ultra no show and provide padding but people can't see them with shoes on. Five stars!
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Reviewed in the United States on January 12, 2023
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Sam K.
Fort Morgan, US
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Socks
Size: Medium, Color: Black
Amazing socks. Fits Amazing. I tried to buy the six pack and it wasn’t the same. Thinner material. The 3 pack is great. Would buy again if it comes up.
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Tyler W
Alexandria, US
★★★★★ 4
Amazing socks but false advertising. They changed them.
Size: Large, Color: Black (6-pairs)
Okay well I have 4 stars because these are the best socks ever, infact, I threw out all my other socks and switched to just these. No show and they never slip. THE PROBLEM NOW, all the pairs I ordered before had a white symbol, and every time I buy more they have the grey and they are not as low show as my others… I wanted to simplify life and have all the same kind, no matching of colors or slightly different shape, but 4 times now I’ve ordered white symbol and gotten thicker longer ones with gray symbols. I’m considering switching all of my socks to the gray…. But the white symbol ones are way better, they don’t show with hey dudes on and gray symbol ones do now. I’m at a loss. Can someone tell me where to buy 100 pairs of white symbol so I never need to buy another sock again in my life?
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Reviewed in the United States on January 24, 2025

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