Empirical evaluation of the effectiveness of variational autoencoders on data augmentation for the image classification problem

In the last decade, deep learning methods have become the key solution for various machine learning problems. One major drawback of deep learning methods is that they require large datasets to have a good generalization performance. Researchers propose data augmentation techniques for generating syn...

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Bibliographic Details

Published in:	International Journal of Intelligent Systems and Applications in Engineering (IJISAE) Vol. 8; no. 2; pp. 116 - 120
Main Authors:	Öztimur Karadağ, Özge, Erdaş Çiçek,Ozlem
Format:	Journal Article
Language:	English
Published:	Selçuk Üniversitesi 26-06-2020
Subjects:	Astronomi & Uzay Bilgisayar Bilimleri Bilim-Teknoloji Mühendislik Türkiye Konya generative models variational autoencoders data augmentation image classification
Online Access:	Get full text
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