Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Artificial Intelligence › Neural Network

Generative Adversarial Network (GAN)

concept · part of Neural Network

A neural network architecture with two competing networks (generator and discriminator) that generate realistic synthetic data. The generator creates fake data while the discriminator distinguishes real from fake, and they are trained adversarially. GANs are used for image generation, style transfer, and data augmentation.

Inside Generative Adversarial Network (GAN) (1)

• Generator (GAN) — The generator in a GAN learns to create data indistinguishable from real data.

This is the text view of an interactive 3D knowledge graph — open this page with JavaScript enabled to explore it visually.