Generating a New Reality
From Autoencoders and Adversarial Networks to Deepfakes
Published on 16. July 2021
Book
Paperback/Softback
XVII, 321 pages
978-1-4842-7091-2 (ISBN)
Description
The emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality.
In this book we look at the many AI techniques capable of generating new realities. We start with the basics of deep learning. Then we move on to autoencoders and generative adversarial networks (GANs). We explore variations of GAN to generate content. The book ends with an in-depth look at the most popular generator projects.
By the end of this book you will understand the AI techniques used to generate different forms of content. You will be able to use these techniques for your own amusement or professional career to both impress and educate others around you and give you the ability to transform your own reality into something new.
What You Will Learn
Who This Book Is For
Machine learning developers and AI enthusiasts who want to understand AI content generation techniques
In this book we look at the many AI techniques capable of generating new realities. We start with the basics of deep learning. Then we move on to autoencoders and generative adversarial networks (GANs). We explore variations of GAN to generate content. The book ends with an in-depth look at the most popular generator projects.
By the end of this book you will understand the AI techniques used to generate different forms of content. You will be able to use these techniques for your own amusement or professional career to both impress and educate others around you and give you the ability to transform your own reality into something new.
What You Will Learn
- Know the fundamentals of content generation from autoencoders to generative adversarial networks (GANs)
- Explore variations of GAN
- Understand the basics of other forms of content generation
- Use advanced projects such as Faceswap, deepfakes, DeOldify, and StyleGAN2
Who This Book Is For
Machine learning developers and AI enthusiasts who want to understand AI content generation techniques
More details
Edition
1st ed.
Language
English
Place of publication
Berkeley
United States
Target group
Professional and scholarly
Illustrations
120 s/w Abbildungen
XVII, 321 p. 120 illus.
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 19 mm
Weight
641 gr
ISBN-13
978-1-4842-7091-2 (9781484270912)
DOI
10.1007/978-1-4842-7092-9
Schweitzer Classification
Other editions
Additional editions
E-Book
07/2021
APress
€66.99
Available for download
Person
Micheal Lanham
is a proven software and tech innovator with more than 20 years of experience. During that time, he has developed a broad range of software applications in areas including games, graphics, web, desktop, engineering, artificial intelligence (AI), GIS, and machine learning (ML) applications for a variety of industries as an R&D developer. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development. He is an avid educator, has written more than eight books covering game development, extended reality, and AI, and teaches at meetups and other events. Micheal also likes to cook for his large family in his hometown of Calgary, Canada.
Content
Chapter 1: The Basics of Deep Learning.- Chapter 2: Unleashing Generative Modeling.- Chapter 3: Exploring the Latent Space.- Chapter 4: GANs, GANs, and More GANs.- Chapter 5: Image to Image Generation with GANs.- Chapter 6: Residual Network GANs.- Chapter 7: Attention Is All We Need.- Chapter 8: Advanced Generators.- Chapter 9: Deepfakes and Faceswapping.- Chapter 10: Cracking Deepfakes.- Appendix A: Running Google Colab Locally.- Appendix B: Opening a Notebook.- Appendix C: Connecting Google Drive and Saving.