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Generating A New Reality From Autoencoders And Adversarial Networks To Deepfakes at Meripustak

Generating A New Reality From Autoencoders And Adversarial Networks To Deepfakes by Lanham, Apress India 

Books from same Author: Lanham

Books from same Publisher: Apress India 

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  • General Information  
    Author(s)Lanham
    PublisherApress India 
    ISBN9781484283837
    Pages321
    BindingSoftcover
    LanguageEnglish
    Publish YearJanuary 2022

    Description

    Apress India  Generating A New Reality From Autoencoders And Adversarial Networks To Deepfakes by Lanham

    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. You will: 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 About the Author 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.



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