Optimization of CNN through Novel Training Strategy for Visual Classification Problems

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...

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Bibliographic Details
Main Authors: Sadaqat ur Rehman, Shanshan Tu, Obaid ur Rehman, Yongfeng Huang, Chathura M. Sarathchandra Magurawalage, Chin-Chen Chang
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Entropy
Subjects:
CNN optimization
image classification
MRPROP
training algorithm
Online Access:http://www.mdpi.com/1099-4300/20/4/290

Internet

http://www.mdpi.com/1099-4300/20/4/290

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