{"title":"使用深度学习对网络上手写数字进行分类","authors":"Rutuj Runwal, Shrawan J Purve, Mohit Chandak","doi":"10.47164/ijngc.v14i1.1003","DOIUrl":null,"url":null,"abstract":"Development of a handwriting classifier using deep learning approach that can classify handwritten numbers and digits on the web. It is a deep-learning based system that uses modern algorithms and focuses on creating a portable web application that aims to classify handwritten numbers powered by the MNIST dataset","PeriodicalId":42021,"journal":{"name":"International Journal of Next-Generation Computing","volume":"11 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Classification of Handwritten Digits on the web using Deep Learning\",\"authors\":\"Rutuj Runwal, Shrawan J Purve, Mohit Chandak\",\"doi\":\"10.47164/ijngc.v14i1.1003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Development of a handwriting classifier using deep learning approach that can classify handwritten numbers and digits on the web. It is a deep-learning based system that uses modern algorithms and focuses on creating a portable web application that aims to classify handwritten numbers powered by the MNIST dataset\",\"PeriodicalId\":42021,\"journal\":{\"name\":\"International Journal of Next-Generation Computing\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Next-Generation Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47164/ijngc.v14i1.1003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Next-Generation Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47164/ijngc.v14i1.1003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification of Handwritten Digits on the web using Deep Learning
Development of a handwriting classifier using deep learning approach that can classify handwritten numbers and digits on the web. It is a deep-learning based system that uses modern algorithms and focuses on creating a portable web application that aims to classify handwritten numbers powered by the MNIST dataset