An Exploration into Synthetic Data and Generative Aversarial Networks

An Exploration into Synthetic Data and Generative Aversarial Networks

This Thesis surveys the landscape of Data Augmentation for image datasets. Completing this survey inspired further study into a method of generative modeling known as Generative Adversarial Networks (GANs). A survey on GANs was conducted to understood recent developments and the problems related to...

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Bibliographic Details
Other Authors:	Shorten, Connor M. (author)
Format:	Others
Language:	English
Published:	Florida Atlantic University
Subjects:	Neural networks (Computer science) Computer vision Images Generative adversarial networks Data sets
Online Access:	http://purl.flvc.org/fau/fd/FA00013263

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