https://scholars.lib.ntu.edu.tw/handle/123456789/598033
標題: | Image Recognition based on Dynamic Highway Networks [基於動態高速公路類神經網路之圖像識別研究] | 作者: | Wang S.-H Lin W.-Z Huang H.-P. HAN-PANG HUANG |
關鍵字: | Dynamic highway networks;Highway networks;Machine learning;Complex networks;Image recognition;Motor transportation;Structural optimization;Convolution neural network;Hyperparameters;Machine learning technology;Near-optimal;ON dynamics;Self-adjusting;Multilayer neural networks | 公開日期: | 2021 | 卷: | 42 | 期: | 1 | 起(迄)頁: | 23-31 | 來源出版物: | Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao | 摘要: | 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. ? 2021, Chinese Mechanical Engineering Society. All right reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112670055&partnerID=40&md5=6dc580abf8129f2a31f83266e2ba66d4 https://scholars.lib.ntu.edu.tw/handle/123456789/598033 |
ISSN: | 02579731 |
顯示於: | 機械工程學系 |
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