Generative Adversarial Network(GAN) using Keras

GAN is an unsupervised deep learning algorithm where we have a Generator pitted against an adversarial network called Discriminator. Discriminators are a team of cops trying to detect the counterfeit currency. Counterfeiters and cops both are trying to beat each other at their game. Generator's objective will be to generate data that is very similar to the training data. Data generated from Generator should be indistinguishable from the real data.