@article{1438266,
      recid = {1438266},
      author = {Lanham, Micheal,},
      title = {Generating a new reality : from autoencoders and  adversarial networks to deepfakes /},
      pages = {1 online resource (xvii, 321 pages) :},
      note = {Includes index.},
      abstract = {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.},
      url = {http://library.usi.edu/record/1438266},
      doi = {https://doi.org/10.1007/978-1-4842-7092-9},
}