Is a
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Founded Date
June 10, 2014
Parent Industry
Short Name
GAN1
Child Industry
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Wikidata ID
Generative Adversarial Network (GAN) is a deep learning method that simultaneously trains two networks. A generator that learns to generate fake samples from an unknown distribution or noise and a discriminator that learns to identify fake from real samples.
It aims to model the natural image distribution by forcing the generated samples to be indistinguishable from natural images. GANs enable a various applications such as image generation, representation learning, image manipulation, object detection and video applications.
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