Capa do artigo Generating A New Reality
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Generating A New Reality eBook

From Autoencoders And Adversarial Networks To Deepfakes

by Micheal Lanham
language: english
Publisher: Apress, July of 2021 ‧
72,86€
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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
  • 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

Generating A New Reality

From Autoencoders And Adversarial Networks To Deepfakes

by Micheal Lanham

Property Description
ISBN: 9781484270929
Publisher: Apress
Release Date: July of 2021
Language: English
Format: eBook
File Format and Compatibility:
Collection: Professional And Applied Computing
Categories: eBooks in English > Science > Mathematics
eBooks in English > Computing > Other Applications
eBooks in English > Computing > Schedule
EAN: 9781484270929
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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