Generative Adversarial Networks
At a glance
GANs pit two networks against each other: one creates examples while the other learns to spot fakes.
In one paragraph
Generative adversarial networks pair two neural networks: one creates examples while the other learns to distinguish them from real data. Their competition teaches the generator to produce more convincing outputs. The paper demonstrated this approach on image datasets.
