Generative adversarial networks

Communications of the ACM, pp. 139-144, 2020.

Cited by: 0|Bibtex|Views83|DOI:https://doi.org/10.1145/3422622
EI
Other Links: dl.acm.org|dblp.uni-trier.de

Abstract:

Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn the probability distribution that generated them. Generative Adversarial Networks (GANs) are then able to generate more ex...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments