What Does Generative Adversarial Network (GAN) Mean?
A generative adversarial network (GAN) is a type of construct in neural network technology that offers a lot of potential in the world of artificial intelligence. A generative adversarial network is composed of two neural networks: a generative network and a discriminative network. These work together to provide high-level simulation of conceptual tasks.
Techopedia Explains Generative Adversarial Network (GAN)
In a generative adversarial network, the generative network constructs results from input, and “shows” them to the discriminative network. The discriminative network is supposed to distinguish between authentic and synthetic results given by the generative network.
