Do Generative Adversarial Networks (GANs) rely on the idea of a generator and a discriminator?
Sunday, 20 August 2023
by Nguyen Xuan Tung
GANs are specifically designed based on the concept of a generator and a discriminator. GANs are a class of deep learning models that consist of two main components: a generator and a discriminator. The generator in a GAN is responsible for creating synthetic data samples that resemble the training data. It takes random noise as
- Published in Artificial Intelligence, EITC/AI/ADL Advanced Deep Learning, Advanced generative models, Modern latent variable models
Tagged under:
Artificial Intelligence, Deep Learning, Discriminator, GANs, Generative Adversarial Networks, Generator