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

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BasicsYusra Hamid