Advanced Deep Learning with Keras

Chapter 4
Figure 4.1.1: The generator and discriminator of GANs are analogous to the counterfeiter and the police.
The goal of the counterfeiter is to fool the police into believing that the dollar bill is real.
This scenario continues indefinitely but eventually, a time will come when
the counterfeiter has mastered his skills in making fake dollar bills that are
indistinguishable from real ones. The counterfeiter can then infinitely print
dollar bills without getting caught by the police as they are no longer indefinable
as counterfeit.
Figure 4.1.2: A GAN is made up of two networks, a generator, and a discriminator.
The discriminator is trained to distinguish between real and fake signals or data.
The generator's job is to generate fake signals or data that can eventually fool the discriminator.
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