Performance Analysis of Various Activation Function on a Shallow Neural Network
Kalyani Ingole, Narayani Patil · Journal of Emerging Technologies and Innovative Research · 2020
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.