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Definition: GAN


(1) (Generic Access Method) A standard for roaming between GSM cellular networks and wireless local networks (Wi-Fi LANs) from the 3GPP. Previously known as "Unified Mobile Access" (UMA), it allows dual-mode handsets to seamlessly switch between networks. GAN networks enable cellphones to obtain service inside buildings that might otherwise be difficult. See dual-mode handset and cellular generations.

(2) (Generative Adversarial Network) An AI neural network that creates realistic images to train machine learning systems. To develop its expertise, thousands of real images are fed into a GAN from which the variations are created. GANs are also used to develop product alternatives and specific personas for advertisements. They can generate new video frames that turn a cloudy day into sunshine.

A GAN Is a Generator and Discriminator
The generator, which is a normal convolutional neural network (CNN), creates the images, and the discriminator (reverse CNN) evaluates them for realism. They work together to improve the quality of the images. As the discriminator provides feedback, the generator is able to fine tune its output. See neural network.




Real and Generated
Each pair of faces represents a real person and an image created in a generative adversarial network (GAN). (Image courtesy of NVIDIA Corporation.)