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CSME 2021/02
Volume 42 No.1
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23-31
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Image Recognition based on Dynamic Highway Networks
Sui-Hsien Wanga, Wei-Zhi Lina and Han-Pang Huanga
aDepartment of Mechanical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, TAIWAN (R.O.C.).
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Abstract:
With the development of machine learning technology, more and more complex networks are developed. For those networks, determining the hyperparameters is important so that they can provide the best performance under the structure of neural network. However, more parameters should be decided in complex networks. This paper is focused on developing a structure of neural networks which can tune the width in each layer based on the utility of neurons automatically. In order to realize this function, a new structure of neural network called convolution neural network based dynamic highway network is proposed to deal with image recognition problem. With the self-adjusting method, near optimal structure and few parameters are required for training to achieve the same and even better
performance which uses more neurons.
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Keywords: dynamic highway networks, machine learning, highway networks.
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©
2021
CSME , ISSN 0257-9731
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