Sample projects in Data Science
View the Project on GitHub sergiorgiraldo/DataScience-Showcase
GAN is an algorithm comprised of 2 networks, a generator and a discriminator.
The generator “creates” fake data and pass to the discriminator. The discriminator predicts if the data received is real or bogus, according to a perceived measure of loss.
The original paper is available here.