Research on image classification model based on deep convolution neural network
Abstract Based on the analysis of the error backpropagation algorithm, we propose an innovative training criterion of depth neural network for maximum interval minimum classification error. At the same time, the cross entropy and M3CE are analyzed and combined to obtain better results. Finally, we t...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-02-01
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Series: | EURASIP Journal on Image and Video Processing |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13640-019-0417-8 |