How does a generative adversarial network (GAN) work?
Generative Adversarial Networks (GANs) are a new way to create data in deep learning. They use special kinds of neural networks. The main idea is to find patterns in data and make new examples that look like the original. GANs have two parts: a generator and a discriminator. They work together to make fake data…
