An unsupervised learning network which is composed of two separate networks, a generator which produces content and a discriminator which works to identify real content from the generated content. Over time, generative adversarial networks create data that increasingly resembles the input data.
An unsupervised learning network which is composed of two separate networks, a generator which produces content and a discriminator which works to identify real content from the generated content. Over time, generative adversarial networks create data that increasingly resembles the input data.
