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...
Main Authors: | Amri, A’inur A’fifah, Ismail, Amelia Ritahani, Abdullah, Ahmad Zarir |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | http://irep.iium.edu.my/53436/ http://irep.iium.edu.my/53436/ http://irep.iium.edu.my/53436/9/53436.pdf |
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