Exploring Deepfakes : Deploy powerful AI techniques for face replacement and more with this comprehensive guide
Language: English
Published by Packt Publishing, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 105.14
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Master the innovative world of deepfakes and generative AI for face replacement with this full-color guidePurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Understand what deepfakes are, their history, and how to use the technology ethicallyGet well-versed with the workflow and processes involved to create your own deepfakesLearn how to apply the lessons and techniques of deepfakes to your own problemsBook Description:Applying Deepfakes will allow you to tackle a wide range of scenarios creatively.Learning from experienced authors will help you to intuitively understand what is going on inside the model. You'll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap.We'll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful.No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We'll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking.By the end of the book, you'll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.What You Will Learn:Gain a clear understanding of deepfakes and their creationUnderstand the risks of deepfakes and how to mitigate themCollect efficient data to create successful deepfakesGet familiar with the deepfakes workflow and its stepsExplore the application of deepfakes methods to your own generative needsImprove results by augmenting data and avoiding overtrainingExamine the future of deepfakes and other generative AIsUse generative AIs to increase video content resolutionWho this book is for:This book is for AI developers, data scientists, and anyone looking to learn more about deepfakes or techniques and technologies from Deepfakes to help them generate new image data. Working knowledge of Python programming language and basic familiarity with OpenCV, Pillow, Pytorch, or Tensorflow is recommended to get the most out of the book.…
Seller Inventory # 9781801810692
- Title
- Exploring Deepfakes : Deploy powerful AI techniques for face replacement and more with this comprehensive guide
- Author
- Bryan Lyon
- Publisher
- Packt Publishing
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1801810699
- ISBN 13
- 9781801810692
- Item weight
- 370 grams
- Dimensions
- 235x191x11 mm
Master the innovative world of deepfakes and generative AI for face replacement with this full-color guide
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
- Understand what deepfakes are, their history, and how to use the technology ethically
- Get well-versed with the workflow and processes involved to create your own deepfakes
- Learn how to apply the lessons and techniques of deepfakes to your own problems
Book Description
Applying Deepfakes will allow you to tackle a wide range of scenarios creatively.
Learning from experienced authors will help you to intuitively understand what is going on inside the model. You'll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap.
We'll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful.
No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We'll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking.
By the end of the book, you'll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.
What you will learn
- Gain a clear understanding of deepfakes and their creation
- Understand the risks of deepfakes and how to mitigate them
- Collect efficient data to create successful deepfakes
- Get familiar with the deepfakes workflow and its steps
- Explore the application of deepfakes methods to your own generative needs
- Improve results by augmenting data and avoiding overtraining
- Examine the future of deepfakes and other generative AIs
- Use generative AIs to increase video content resolution
Who this book is for
This book is for AI developers, data scientists, and anyone looking to learn more about deepfakes or techniques and technologies from Deepfakes to help them generate new image data. Working knowledge of Python programming language and basic familiarity with OpenCV, Pillow, Pytorch, or Tensorflow is recommended to get the most out of the book.
Table of Contents
- Surveying Deepfakes
- Examining Deepfake Ethics and Dangersand Ethics
- Acquiring and Processing Data
- The Deepfake workflow
- Extracting faces from the video
- Training a Deepfake Model
- Swapping the Face Back into the Video
- Applying the lessons of Deepfakes
- The future of Deepfakes
"Synopsis" may belong to another edition of this title.
About the Author
Bryan Lyon is a developer for Faceswap.
Matt Tora is a developer for Faceswap.
"About the title" may belong to another edition of this title.
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