Exploring imbalanced class issue in handwritten dataset using convolutional neural networks and deep belief networks

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Exploring imbalanced class issue in handwritten dataset using convolutional neural networks and deep belief networks

Imbalanced class is one of the challenges in classifying big data. Data disparity produces a biased output of a model regardless how recent the technology is. However, deep learning algorithms such as convolutional neural networks and deep belief networks showed promising results in many domains, es...

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Bibliographic Details
Main Authors:	Amri, A’inur A’fifah, Ismail, Amelia Ritahani, Abdullah, Ahmad Zarir
Format:	Proceeding Paper
Language:	English
Published:	2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/53436/ http://irep.iium.edu.my/53436/9/53436.pdf

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