Chapter 1. Introduction to GANs

This chapter covers

  • An overview of Generative Adversarial Networks
  • What makes this class of machine learning algorithms special
  • Some of the exciting GAN applications that this book covers

The notion of whether machines can think is older than the computer itself. In 1950, the famed mathematician, logician, and computer scientist Alan Turing—perhaps best known for his role in decoding the Nazi wartime enciphering machine, Enigma—penned a paper that would immortalize his name for generations to come, “Computing Machinery and Intelligence.”

In the paper, Turing proposed a test he called the imitation game, better known today as the Turing test. In this hypothetical scenario, an unknowing observer talks with two ...

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