Glossary and Industry Insights about Deep Learning, AI, and Cognitive Computing - Akira AI

What are Generative Adversarial Networks - Akira AI

Written by Dr. Jagreet Kaur | Oct 15, 2019 4:00:00 AM

Comparison of Generative Adversarial Networks (GAN) and CNN

If GAN is compared to CNN than it outclass CNN because GAN has generation capability and it can work with unlabeled data because it belongs to unsupervised learning techniques.

Generative Adversarial Networks Uses

GANs open up deep learning to a broader range of unsupervised tasks in which labeled data does not exist or is too expensive to obtain. They also reduce the load required for a deep neural network because the two systems share the burden. Expect to see more business applications, such as cyber detection, employ GANs.