IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 8 Issue 3 Computer Science and Engineering English May - June 2020 N N Y 2020 06 04 Computer Sciences A Primer on Generative Adversarial Networks English Y 152 158 Dr. Vikas Thada English Y Mr. Utpal Shrivastava English N Jyotsna Sharma English N Kuwar Prateek Singh English N Manda Ranadeep English N https://doi.org/10.21276/ijircst.2020.8.3.22 Generative Adversarial Networks (GANs) is a type of deep neural network architecture that utilizes unsupervised machine learning to generate data. They were presented in 2014, in a paper by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. This paper will introduce the core components of GANs. This will take you through how every part function and the significant ideas and innovation behind GANs. It will likewise give a short outline of the advantages and downsides of utilizing GANs, comparison of architectures of various GANs and knowledge into certain true applications. English Deep Learning, Generative Adversarial Networks, Neural Network, Application https://ijircst.org/abstract.php?article_id=404