Adversarial Training

Browse all content tagged with Adversarial Training

Glossary

Generative Adversarial Network (GAN)

A Generative Adversarial Network (GAN) is a machine learning framework with two neural networks—a generator and a discriminator—that compete to generate data indistinguishable from real data. Introduced by Ian Goodfellow in 2014, GANs are widely used for image generation, data augmentation, anomaly detection, and more.

GAN Generative AI Machine Learning +4
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