Convolutional neural networks and deep belief networks
for analysing imbalanced class issue in handwritten dataset

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Convolutional neural networks and deep belief networks for analysing imbalanced class issue in handwritten dataset

Imbalanced class is one of the trials in classifying materials of 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 have proven to provide promising...

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Bibliographic Details
Main Authors:	Amri, A’inur A’fifah, Ismail, Amelia Ritahani, Zarir, Abdullah Ahmad
Format:	Article
Language:	English English
Published:	INSIGHT - Indonesian Society for Knowledge and Human Development 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/62150/ http://irep.iium.edu.my/62150/1/Convolutional%20Neural%20Networks%20and%20Deep%20Belief%20Networks.pdf http://irep.iium.edu.my/62150/7/62150_Convolutional%20Neural%20Networks%20and%20Deep%20Belief%20Networks_scopus.pdf

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