Generative Adversarial Networks (GANs)

GANs are deep neural networks that consist of two competing components - a generator and a discriminator. The generator creates images, while the discriminator determines whether the generated images are realistic. By training these two components together, GANs are able to produce highly realistic images that are indistinguishable from those created by human artists.