在深度学习中使用Nelder-Mead方法进行有效的超参数优化

{"title":"在深度学习中使用Nelder-Mead方法进行有效的超参数优化","authors":"Yoshihiko Ozaki, Masaki Yano, Masaki Onishi","doi":"10.1186/s41074-017-0030-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":38957,"journal":{"name":"IPSJ Transactions on Computer Vision and Applications","volume":" ","pages":"1-12"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41074-017-0030-7","citationCount":"47","resultStr":"{\"title\":\"Effective hyperparameter optimization using Nelder-Mead method in deep learning\",\"authors\":\"Yoshihiko Ozaki, Masaki Yano, Masaki Onishi\",\"doi\":\"10.1186/s41074-017-0030-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":38957,\"journal\":{\"name\":\"IPSJ Transactions on Computer Vision and Applications\",\"volume\":\" \",\"pages\":\"1-12\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s41074-017-0030-7\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IPSJ Transactions on Computer Vision and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41074-017-0030-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IPSJ Transactions on Computer Vision and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41074-017-0030-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}