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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

Technical requirements

As with all machine learning techniques, deepfakes can be created on any PC with a minimum of 4 GB of RAM. However, a machine with 8 GB of RAM or higher and a GPU (a graphics card) is strongly recommended. Training a model on a CPU is likely to take months to complete, which does not make it a realistic endeavor. Graphics cards are built specifically to perform matrix calculations, which makes them ideal for machine learning tasks.

Faceswap will run on Linux, Windows, and Intel-based macOS systems. At a minimum, Faceswap should be run on a system with 4 GB of VRAM (GPU memory). Ideally, an NVIDIA GPU should be used, as AMD GPUs are not as fully featured as their Nvidia counterparts and run considerably slower. Some features that are available for NVIDIA users are not available for AMD users, due to NVIDIA’s proprietary CUDA library being accepted as an industry standard for machine learning. GPUs with more VRAM will be able to run more of the larger...

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