Artificial Intelligence Explained: What Are Generative Adversarial Networks (GANs)?
The principle behind the GAN was first proposed in 2014, and at its most basic level, it describes a system that pits two AI systems (neural networks) against each other to improve the quality of their results.
To understand how they work, imagine a blind forger trying to create copies of paintings by great masters. To start with, he has no idea what a painting should look like – but he happens to have a friend who has a photographic memory of every masterpiece that's ever been painted.
This friend – a detective – has to determine whether the paintings his friend is showing match the features of those created by the real great masters, or are obvious forgeries. READ MORE ON: FORES