Optimization of CNN through Novel Training Strategy for Visual Classification Problems
The convolution neural network (CNN) has achieved state-of-the-art performance in many computer vision applications e.g., classification, recognition, detection, etc. However, the global optimization of CNN training is still a problem. Fast classification and training play a key role in the developm...
Main Authors: | Sadaqat ur Rehman, Shanshan Tu, Obaid ur Rehman, Yongfeng Huang, Chathura M. Sarathchandra Magurawalage, Chin-Chen Chang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
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Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/20/4/290 |
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