Deep learning method that trains two networks simultaneously without extensively annotated training data that compete with each other in a zero-sum game framework.
It aims to model the natural image distribution by forcing the generated samples to be indistinguishable from natural images. GANs enable a various applications such as image generation, representation learning, image manipulation, object detection and video applications.
from natural images. GANs enable a various applications such as image generation, representation
learning, image manipulation, object detection and video applications.