Classification of Handwritten Digits on the web using Deep Learning

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Published Feb 15, 2023
https://doi.org/10.47164/ijngc.v14i1.1003
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Volume 14, Special Issue 1, February 2023

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Rutuj Runwal
Shri Ramdeobaba College of Engineering and Management, Nagpur
Shrawan J Purve
Shri Ramdeobaba College of Engineering and Management, Nagpur
Mohit Chandak
Shri Ramdeobaba College of Engineering and Management, Nagpur

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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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Rutuj Runwal, Shrawan J Purve, & Mohit Chandak. (2023). Classification of Handwritten Digits on the web using Deep Learning. International Journal of Next-Generation Computing, 14(1). https://doi.org/10.47164/ijngc.v14i1.1003
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