@inproceedings{d448fd9891934774869611a7ad28abf0,
title = "Activation functions and their impact on the training and performance of convolutional neural network models",
abstract = "Activation functions are a very crucial part of convolutional neural networks (CNN) because to a very large extent, they determine the performance of the CNN model. Various activation functions have been developed over the years and the choice of activation function to use in a given model is usually a matter of trial and error. In this paper, we evaluate some of the most-used activation functions and how they impact the time to train a CNN model and the performance of the model. We make recommendations for the best activation functions to use based on the results of our experiment.",
keywords = "Accuracy, Activation function, Convolutional neural network, Performance, Training time",
author = "Gerald Onwujekwe and Victoria Yoon",
note = "Publisher Copyright: {\textcopyright} 2020 26th Americas Conference on Information Systems, AMCIS 2020. All rights reserved.; 26th Americas Conference on Information Systems, AMCIS 2020 ; Conference date: 10-08-2020 Through 14-08-2020",
year = "2020",
language = "English",
series = "26th Americas Conference on Information Systems, AMCIS 2020",
publisher = "Association for Information Systems",
booktitle = "26th Americas Conference on Information Systems, AMCIS 2020",
}