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Exploring Deepfakes

You're reading from   Exploring Deepfakes Deploy powerful AI techniques for face replacement and more with this comprehensive guide

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781801810692
Length 192 pages
Edition 1st Edition
Languages
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Authors (2):
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Matt Tora Matt Tora
Author Profile Icon Matt Tora
Matt Tora
Bryan Lyon Bryan Lyon
Author Profile Icon Bryan Lyon
Bryan Lyon
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Understanding Deepfakes
2. Chapter 1: Surveying Deepfakes FREE CHAPTER 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

Training a Deepfake Model

Training a deepfake model is the most important part of creating a deepfake. It is where the AI actually learns about the faces from your data and where the most interesting neural network operations take place.

In this chapter, we’ll look into the training code and the code that actually creates the AI models. We’ll look at the submodules of the neural network and how they’re put together to create a complete neural network. Then we’ll go over everything needed to train the network and end up with a model ready to swap two faces.

We’ll cover the following topics in this chapter:

  • Understanding convolutional layers
  • Getting hands-on with AI
  • Exploring the training code

By the end of this chapter, we’ll have designed our neural networks and built a training pipeline capable of teaching them to swap faces.

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