多层感知器的c++实现

The Journal of open source education Pub Date : 2021-07-14 DOI:10.21105/JOSE.00059

K. Ogbureke

{"title":"多层感知器的c++实现","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":"{\"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}","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

摘要

本文介绍了多层感知器的开源c++实现mLEARn。实现的技术和算法代表了机器学习中的现有方法。mLEARn是使用简单的c++结构编写的。mLE ARn的目标是为学习c++和机器学习课程的学生提供一个简单且可扩展的机器学习平台。源代码和文档可以从https://github.com/kalu-o/mLEARn下载。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

mLEARn: An Implementation of Multi-layer Perceptron in C++

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

The Journal of open source education

自引率

0.00%

发文量