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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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| Publicado no: | PeerJ Comput Sci |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7924465/ https://ncbi.nlm.nih.gov/pubmed/33816820 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.167 |
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