中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Switch Unit (SU): A Novel Type of Unit for the Activation Function

文献类型:会议论文

作者Han Z(韩志)1; Han JD(韩建达)1; Yang XY(杨秀义)1,2; Tang YD(唐延东)1
出版日期2018
会议日期July 19-23, 2018
会议地点Tianjin, China
关键词Switch unit Neural networks CIFAR10/100
页码154-157
英文摘要The paper presents a novel unit - switch unit (SU). This unit represents a conditional include function, which is able to map the input from one dimensional space to two dimensional spaces depending on whether the input is positive or not. In the traditional neural networks, there always exist one of derivatives of two entries from output that refers to input as one and the other as zero. The proposed unit is able to cope with the vanishing gradient issues induced by the factor of activation function such as ReLUs (rectified linear units). In the experiments, different neural networks are trained based on the proposed units and tested on CIFAR-10 and CIFAR-100 datasets, which yielded the comparable results to ReLUs based neural networks using the same parameters.
源文献作者IEEE Robotics & Automation Society
产权排序1
会议录Proceedings of 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-7056-9
源URL[http://ir.sia.cn/handle/173321/23860]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Han JD(韩建达)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Han Z,Han JD,Yang XY,et al. Switch Unit (SU): A Novel Type of Unit for the Activation Function[C]. 见:. Tianjin, China. July 19-23, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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