.svg){kind=icon}
.svg){kind=icon}
Generative Adversarial Network (GAN) is a machine learning (ML) framework that consists of two neural networks, a generator, and a discriminator, competing against each other. The generator generates synthetic data samples while the discriminator differentiates between authentic and fake data.
Generative Adversarial Network (GAN)
SHARE
Related Links
In the fast-paced world of marketing, precise targeting and actionable insights are essential. Campaign managers often…
Over the past few months, we’ve had discussions with multiple clients about understanding risk causality within…
