Comparison of Activation Functions in Convolutional Neural Network for Poisson Noisy Image Classification

Comparison of Activation Functions in Convolutional Neural Network for Poisson Noisy Image Classification

Deep learning, specifically the Convolutional Neural Network (CNN), has been a significant technology tool for image processing and human health. CNNs, which mimic the working principles of the human brain, can learn robust representations of images. However, CNNs are susceptible to noise interferen...

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Bibliographic Details
Main Authors: Khang Wen Goh, Sugiyarto Surono, M. Y. Firza Afiatin, K. Robiatul Mahmudah, Nursyiva Irsalinda, Mesith Chaimanee, Choo Wou Onn
Format: Article
Language:English
Published: Ital Publication 2024-04-01
Series:Emerging Science Journal
Subjects:
activation function
classification
convolutional neural network
poisson noise.
Online Access:https://www.ijournalse.org/index.php/ESJ/article/view/2197

Internet

https://www.ijournalse.org/index.php/ESJ/article/view/2197

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