Generative Adversarial Learning

From generative to “plus adversarial”

Photo by Germán Kaser on Unsplash

Say we have a dataset of real images. Such as pictures of lions in various settings. From this data set, we want to machine-learn to generate new images that look like the real ones.

Generative Adversarial Networks, GANs for short, are a compelling approach to this problem.