Generative Adversarial Networks (GANs): An Overviewby@samadritaghosh
351 reads

Generative Adversarial Networks (GANs): An Overview

tldt arrow
Read on Terminal Reader
Read this story w/o Javascript

Too Long; Didn't Read

Generative Adversarial Networks (GANs) have a lot of applications and one is often led to wonder how simple machines can achieve such fascinating and extensively creative accomplishments so efficiently. The healthcare industry has also benefited majorly. For instance, terenzai uses GANs effectively to provide super-resolution to medical imaging. This would mean that the information from high-quality radiography imaging equipment can be leveraged even in areas where a relatively poorer quality of the equipment is at disposal.

Companies Mentioned

Mention Thumbnail
Mention Thumbnail
featured image - Generative Adversarial Networks (GANs): An Overview
Samadrita Ghosh HackerNoon profile picture

@samadritaghosh

Samadrita Ghosh

Tech Writer and Tech Content Strategist | Worked with Forbes' Cloud 100 and CB Insights' AI 100 brands


Receive Stories from @samadritaghosh

react to story with heart

RELATED STORIES

L O A D I N G
. . . comments & more!