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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
INSIGHT - Indonesian Society for Knowledge and Human Development
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62150/ 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 |