A Generative Adversarial Network (GAN) is a machine learning framework with two neural networks: a generator that creates synthetic data and a discriminator that tries to distinguish real from fake data, trained together in a competitive process.
A Generative Adversarial Network (GAN) is a machine learning framework with two neural networks: a generator that creates synthetic data and a discriminator that tries to distinguish real from fake data, trained together in a competitive process.