Research on image classification model based on deep convolution neural network

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...

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Bibliographic Details
Main Authors:	Mingyuan Xin, Yong Wang
Format:	Article
Language:	English
Published:	SpringerOpen 2019-02-01
Series:	EURASIP Journal on Image and Video Processing
Subjects:	Convolution neural network Image classification M3CE-CEc
Online Access:	http://link.springer.com/article/10.1186/s13640-019-0417-8

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