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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| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | en |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/53436/9/53436.pdf http://irep.iium.edu.my/53436/ http://www.ftsm.ukm.my/mcait2016/ |
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