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…
Overview Data quality validation is a critical aspect of data governance, ensuring that datasets are accurate,…