Design and Analysis of activation functions used in deep learning models-Reference-Cited by-同舟云学术

Design and Analysis of activation functions used in deep learning models

Published:2021-10-11 Issue: Volume: Page:
ISSN:
Container-title:The 7th International Conference on Engineering & MIS 2021
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Author:

Bandaru Rajasai¹,Pola Sahithi¹,Thadem Sai Anirudh¹,Pendyala Keerthi¹,Vangipuram Radhakrishna¹,Vangipuram Sravan Kiran¹

Affiliation:

1. Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3492547.3492575

Reference84 articles.

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2. [3]S.A. Aljawarneh V. Radhakrishna and A. Cheruvu. 2018. Extending the Gaussian membership function for finding similarity between temporal patterns. Proceedings - 2017 International Conference on Engineering and MIS ICEMIS 2017 2018-January (2018) 1–6. https://doi.org/10.1109/ICEMIS.2017.8273100 Conference of 2017 International Conference on Engineering and MIS ICEMIS 2017; Conference Date: 8 May 2017 Through 10 May 2017; Conference Code:134460. [3]S.A. Aljawarneh V. Radhakrishna and A. Cheruvu. 2018. Extending the Gaussian membership function for finding similarity between temporal patterns. Proceedings - 2017 International Conference on Engineering and MIS ICEMIS 2017 2018-January (2018) 1–6. https://doi.org/10.1109/ICEMIS.2017.8273100 Conference of 2017 International Conference on Engineering and MIS ICEMIS 2017; Conference Date: 8 May 2017 Through 10 May 2017; Conference Code:134460.

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