A Comparative Analysis of the Most Commonly Used Activation Functions in Deep Neural Network-Reference-Cited by-同舟云学术

A Comparative Analysis of the Most Commonly Used Activation Functions in Deep Neural Network

Published:2023-07-06 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
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Author:

Mahima R.¹,Maheswari M.¹,Roshana S.¹,Priyanka E.¹,Mohanan Neha¹,Nandhini N.¹

Affiliation:

1. K. Ramakrishnan College of Engineering,Department of ECE,Trichy,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192573/10192581/10193390.pdf?arnumber=10193390

Reference19 articles.

1. Reluplex made more practical: Leaky ReLU

2. Combine Relu with Tanh

3. A novel intervention method for aspect-based emotion Using Exponential Linear Unit (ELU) activation function in a Deep Neural Network;d t;2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS),2021

4. A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks

5. A Novel Configurable High-precision and Low-cost Circuit Design of Sigmoid and Tanh Activation Function

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