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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006041

Page Number

269-276

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Title

Performance Analysis of Various Activation Function on a Shallow Neural Network

ISSN

2349-5162

Cite This Article

"Performance Analysis of Various Activation Function on a Shallow Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.269-276, June-2020, Available :http://www.jetir.org/papers/JETIR2006041.pdf

Abstract

In this paper we've completed a brief study on various Activation Function and the way they affect the accuracy of a Shallow Neural network used for binary classification. This paper additionally tries to explore the analysis of Activation Functions with regards to the number of neurons required to induce the most accuracy. Through this paper, we can get a clear understanding and statistical Comparison between various activation Function. It also aims to perform analysis of the different activation functions and provide a benchmark of it.

Key Words

Activation Functions, Machine Learning, Shallow Neural Network, Accuracy

Cite This Article

"Performance Analysis of Various Activation Function on a Shallow Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp269-276, June-2020, Available at : http://www.jetir.org/papers/JETIR2006041.pdf

Publication Details

Published Paper ID: JETIR2006041
Registration ID: 233889
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 269-276
ISSN Number: 2349-5162

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Cite This Article

"Performance Analysis of Various Activation Function on a Shallow Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp269-276, June-2020, Available at : http://www.jetir.org/papers/JETIR2006041.pdf




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