Understanding Generative Adversarial Networks (GANs)

Decoding “Z-GAN”: The Next Frontier in Synthetic Data and Outlier Modeling

In the fast-evolving landscape of artificial intelligence and machine learning, generative models have completely transformed how we approach data. Among them, Generative Adversarial Networks (GANs) have long stood out. Operating on a game-theoretic “cat-and-mouse” dynamic—where a generator creates fake data and a discriminator tries to spot it—standard GANs excel at mimicking typical, everyday datasets.