{"title":"mLEARn: An Implementation of Multi-layer Perceptron in C++","authors":"K. Ogbureke","doi":"10.21105/JOSE.00059","DOIUrl":null,"url":null,"abstract":"This paper presents mLEARn, an open-source implementation of multi-layer perceptron in C++. The techniques and algorithms implemented represent existing approaches in machine learning. mLEARn is written using simple C++ constructs. The aim of mLE ARn is to provide a simple and extendable machine learning platform for students in courses involving C++ and machine learning. The source code and documentation can be downloaded from https://github.com/kalu-o/mLEARn.","PeriodicalId":75094,"journal":{"name":"The Journal of open source education","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of open source education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21105/JOSE.00059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents mLEARn, an open-source implementation of multi-layer perceptron in C++. The techniques and algorithms implemented represent existing approaches in machine learning. mLEARn is written using simple C++ constructs. The aim of mLE ARn is to provide a simple and extendable machine learning platform for students in courses involving C++ and machine learning. The source code and documentation can be downloaded from https://github.com/kalu-o/mLEARn.