Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is General Adverserial Network

Chapter 7
Encyclopedia of Information Science and Technology, Fifth Edition
General adverserial network (GAN) is a deep learning, unsupervised machine learning technique. It has a generator and a discriminator. Generator generates the new data and discriminator discriminates between generated input and the existing input so that to rectify the output.
Published in Chapter:
Text-Based Image Retrieval Using Deep Learning
Udit Singhania (Vellore Institute of Technology, India) and B. K. Tripathy (Vellore Institute of Technology, India)
Copyright: © 2021 |Pages: 11
DOI: 10.4018/978-1-7998-3479-3.ch007
Abstract
This chapter is mainly an advanced version of the previous version of the chapter named “An Insight to Deep Learning Architectures” in the encyclopedia. This chapter mainly focusses on giving the insights of information retrieval after the year 2014, as the earlier part has been discussed in the previous version. Deep learning plays an important role in today's era, and this chapter makes use of such deep learning architectures which have evolved over time and have proved to be efficient in image search/retrieval nowadays. In this chapter, various techniques to solve the problem of natural language processing to process text query are mentioned. Recurrent neural nets, deep restricted Boltzmann machines, general adversarial nets have been discussed seeing how they revolutionize the field of information retrieval.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR