Question: are generative adversarial networks unsupervised?
Answer: GANs are unsupervised learning algorithms that use a supervised loss as part of the training. ... The GAN sets up a supervised learning problem in order to do unsupervised learning, generates fake / random looking data, and tries to determine if a sample is generated fake data or real data.