Experiment Improvement of Restricted Boltzmann Machine Methods for Image Classification

Christine Dewi, Rung-Ching Chen, Hsiu-Te Hung
{"title":"Experiment Improvement of Restricted Boltzmann Machine Methods for Image Classification","authors":"Christine Dewi, Rung-Ching Chen, Hsiu-Te Hung","doi":"10.1142/S2196888821500184","DOIUrl":null,"url":null,"abstract":"Restricted Boltzmann machine (RBM) plays an important role in current deep learning techniques, as most of the existing deep networks are based on or related to generative models and image classifi...","PeriodicalId":256649,"journal":{"name":"Vietnam. J. Comput. Sci.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vietnam. J. Comput. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S2196888821500184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Restricted Boltzmann machine (RBM) plays an important role in current deep learning techniques, as most of the existing deep networks are based on or related to generative models and image classifi...
受限玻尔兹曼机图像分类方法的实验改进
受限玻尔兹曼机(Restricted Boltzmann machine, RBM)在当前的深度学习技术中扮演着重要的角色,因为现有的深度网络大多是基于或与生成模型和图像分类相关的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信