Classification of Handwritten Digits on the web using Deep Learning

Rutuj Runwal, Shrawan J Purve, Mohit Chandak
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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
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使用深度学习对网络上手写数字进行分类
使用深度学习方法的手写分类器的开发,可以对网络上的手写数字和数字进行分类。它是一个基于深度学习的系统,使用现代算法,专注于创建一个便携式web应用程序,旨在对MNIST数据集支持的手写数字进行分类
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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