How machine learning has found its uses in domains ranging from finance, to computer vision, to biology and to astrophysics. and a little in depth analysis as to how it has found itself in Astrphysics.
Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have a diverse pool of application involving image generation, image processing, data generation for visual recognition. GANs’ potential is huge because they can learn to mimic any distribution of data.