Unsupervised learning of image data using generative adversarial network

Over the past few years, with the introduction of deep learning techniques such as convolution neural network (CNN), supervised learning with CNN had achieved a huge success in the computer vision area such as classifying digital images. However, supervised learning has a major drawback, in which it...

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Bibliographic Details
Main Authors: Rayner Alfred, Lun,, Chew Ye
Format: Proceedings
Language:English
English
Published: Springer, Singapore 2020
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/27636/1/Unsupervised%20learning%20of%20image%20data%20using%20generative%20adversarial%20network-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/27636/2/Unsupervised%20learning%20of%20image%20data%20using%20generative%20adversarial%20network.pdf