UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2304B28


Registration ID:
513917

Page Number

l163-l166

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Title

MNIST DIGIT REPRESENTATION

Abstract

This paper presents an implementation using Convolutional Neural Network to achieve the classification of the MNIST handwritten digit database. Here, we use plot of loss during training and classification accuracy to determine the performance of the neural network. The experimental results show that to a certain extent, the neural network can be used to solve classification problem. The thing of our work is going to be to make a model which will be ready to identify and determine the handwritten number from its image with better delicacy. We aim to finish this by using the generalities of Convolution Neural Network and MNIST dataset. However, the accuracy rate cannot be guaranteed and potential reasons are discussed. Then we try to modify the structure of the original neural network into a Convolutional Neural Network (CNN). The results indicate that CNN can be used to improve the performance during solving image recognition problem. At last, the results generated by our network system the most objective of this paper is to make sure effective and dependable approaches for recognition of handwritten integers.

Key Words

MNIST handwritten digit database, Convolutional Neural Network, Deep learning

Cite This Article

"MNIST DIGIT REPRESENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l163-l166, April-2023, Available :http://www.jetir.org/papers/JETIR2304B28.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"MNIST DIGIT REPRESENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl163-l166, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B28.pdf

Publication Details

Published Paper ID: JETIR2304B28
Registration ID: 513917
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: l163-l166
Country: Tenkasi, Tamil Nadu, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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