Generative Adversarial Networks, the Counterfeiter and the Police Game

Let's picture the following game; two individuals, an outstanding counterfeiter who is well known for producing the best fake bills ever made, and the other hand, police, who are responsible for identifying whether the money moving around is real or fake. We can cast Tom and Leo for the movie, right? Now, how is this related to Machine Learning, Deep Learning, or any kind of automated Learning known by humankind? The promise of deep learning is to discover rich, hierarchical models that represent probability distributions over the kinds of data encountered in artificial intelligence applications, such as natural images, audio waveforms containing speech, and symbols, among others. We dreamed about Deep Learning implementations that can actually create rather than copy, and that my friends, is part of this journey.