A Primer on Generative Adversarial Networks
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 3
Abstract
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.
Authors and Affiliations
Dr. Vikas Thada, Mr. Utpal Shrivastava, Jyotsna Sharma, Kuwar Prateek Singh, Manda Ranadeep
Keywords
Related Articles
- EP ID EP747817
- DOI 10.21276/ijircst.2020.8.3.22
- Views 41
- Downloads 0
A Review of Video Detection and Tracking Methods for Moving Objects
Object detection and tracking are widely utilized in today's society, especially for motion detection of different objects. The initial stage in object detection is to recognize objects in the video stream and cluster th...
A Research Paper on New Generation Gym Mat
Gym has been more popular in recent years since it aids in the maintenance of one's health, increases flexibility, improves concentration, and motivates individuals to live a healthy and tranquil life. People used to pra...
Self-Compacting Concrete Using Ggbs with Addition of Steel Fibers on M30 Grade of Concrete
Self-compacting concrete has emerged as a creative invention that is capable of solving the problem and making a remarkable advancement in the field of substantial innovation, which has led to the prior practise of subst...
A Review on Black Hole Detection on Mobile Ad-hoc Network
MANET is a network with unrestricted mobility in nature and no centralised control. Mobile node can move from one network to another frequently. MANET is infrastructure less so any node can enter and exit the system at a...
AI and Cloud Computing for Enhanced Virtualization and Containerization
This research paper aims at analysing the application of artificial intelligence and deep learning techniques in the cloud computing paradigm especially in virtualization and containerization. Since cloud computing has b...