Book Image

Exploring Deepfakes

By : Bryan Lyon, Matt Tora
Book Image

Exploring Deepfakes

By: Bryan Lyon, Matt Tora

Overview of this book

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.
Table of Contents (15 chapters)
1
Part 1: Understanding Deepfakes
6
Part 2: Getting Hands-On with the Deepfake Process
10
Part 3: Where to Now?

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.