Move Over Fake News – How AI Technology Has Created The Fake Celebrity

Move Over Fake News

Generative adversarial networks (GANs) are artificial intelligence algorithms used in unsupervised machine learning. Research in this area has been carried out for several years: Typically, a GAN consists of two networks: generator and discriminator (aka critic). The generator produces a sample, e.g., an image, from a latent code, and the distribution of these images should ideally be indistinguishable from the training distribution.

Generative adversarial networks (GANs) are artificial intelligence algorithms used in unsupervised machine learning. Research in this area has been carried out for several years: Typically, a GAN consists of two networks: generator and discriminator (aka critic). The generator produces a sample, e.g., an image, from a latent code, and the distribution of these images should ideally be indistinguishable from the training distribution.