A comparison between shallow and deep architecture classifiers on small dataset
| dc.contributor.author | Kitsuchart Pasupa | |
| dc.contributor.author | Wisuwat Sunhem | |
| dc.date.accessioned | 2025-07-21T05:57:17Z | |
| dc.date.issued | 2016-10-01 | |
| dc.identifier.doi | 10.1109/iciteed.2016.7863293 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/5943 | |
| dc.subject | Regularization | |
| dc.subject | Dropout (neural networks) | |
| dc.subject | Pooling | |
| dc.subject | Deep Neural Networks | |
| dc.subject | Contextual image classification | |
| dc.subject.classification | Advanced Neural Network Applications | |
| dc.title | A comparison between shallow and deep architecture classifiers on small dataset | |
| dc.type | Article |