How It Works
GAN (Generative Adversarial Network)
A setup with two competing neural networks — a generator that creates fake data and a discriminator that tries to catch the fakes — trained together until the generator produces highly realistic output.
Origin
Introduced by Ian Goodfellow and colleagues in 2014.