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Exploring Deepfakes

You're reading from  Exploring Deepfakes

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781801810692
Pages 192 pages
Edition 1st Edition
Languages
Authors (2):
Bryan Lyon Bryan Lyon
Profile icon Bryan Lyon
Matt Tora Matt Tora
Profile icon Matt Tora
View More author details

Table of Contents (15) Chapters

Preface 1. Part 1: Understanding Deepfakes
2. Chapter 1: Surveying Deepfakes 3. Chapter 2: Examining Deepfake Ethics and Dangers 4. Chapter 3: Acquiring and Processing Data 5. Chapter 4: The Deepfake Workflow 6. Part 2: Getting Hands-On with the Deepfake Process
7. Chapter 5: Extracting Faces 8. Chapter 6: Training a Deepfake Model 9. Chapter 7: Swapping the Face Back into the Video 10. Part 3: Where to Now?
11. Chapter 8: Applying the Lessons of Deepfakes 12. Chapter 9: The Future of Generative AI 13. Index 14. Other Books You May Enjoy

Summary

Generative AI has a huge history and a tremendous future. We’re standing before a vast plane where anything is possible, and we just have to go toward it. That said, not everything is visible today, and we must temper our expectations. The main challenges are the limitations of our computers, time, and research. If we dedicate our time and efforts to solving some of AI’s limitations, we’ll inevitably come up with brand-new leaps that will help us move forward. Even without huge revolutionary improvements though, there are a lot of smaller evolutionary improvements that we can make to improve the capabilities of these models.

The biggest driver of innovation is need. Having more and more people using generative AI and putting it toward novel uses will create the economic and social pushes that generative AI needs to continue being improved on into the future.

This book has all been about getting us to this point where we, the authors, can invite you...

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