标题:The difference learning of hidden layer between autoencoder and variational autoencoder
作者:Xu, Qingyang ;Wu, Zhe ;Yang, Yiqin ;Zhang, Li
作者机构:[Xu, Qingyang ;Wu, Zhe ;Yang, Yiqin ;Zhang, Li ] School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai; 264209, Ch 更多
会议名称:29th Chinese Control and Decision Conference, CCDC 2017
会议日期:May 28, 2017 - May 30, 2017
来源:Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
出版年:2017
页码:4801-4804
DOI:10.1109/CCDC.2017.7979344
摘要:Autoencoder is an excellent unsupervised learning algorithm. However, it can not generate kinds of sample data in the decoding process. Variational autoencoder is a typical generative adversarial net which can generate various data to augment the sample data. In this paper, we want to do some research about the information learning in hidden layer. In the simulation, we compare the hidden layer learning of hidden layer in conventional autoencoder and variational autoencoder. © 2017 IEEE.
收录类别:EI
资源类型:会议论文
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