Image classification method based on deep learning
This paper proposes a convolution neural network（CNN） for image classification, which uses overlap pooling and dropout technology to solve overfitting problem. Compared with traditional CNN，the proposal obtains better results on the CIFAR-10 dataset，where the accuracy on testing data set is about 9...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2018-06-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000084504 |