Convolutional ensembles for Arabic Handwritten Character and Digit Recognition
A learning algorithm is proposed for the task of Arabic Handwritten Character and Digit recognition. The architecture consists on an ensemble of different Convolutional Neural Networks. The proposed training algorithm uses a combination of adaptive gradient descent on the first epochs and regular st...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2018-10-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-167.pdf |