A novel scaled-gamma-tanh (SGT) activation function in 3D CNN applied for MRI classification

Autor:	Bijen Khagi, Goo-Rak Kwon
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Medicine Science
Zdroj:	Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Druh dokumentu:	article
ISSN:	2045-2322
DOI:	10.1038/s41598-022-19020-y
Popis:	Abstract Activation functions in the neural network are responsible for ‘firing’ the nodes in it. In a deep neural network they ‘activate’ the features to reduce feature redundancy and learn the complex pattern by adding non-linearity in the network to learn task-specific goals. In this paper, we propose a simple and interesting activation function based on the combination of scaled gamma correction and hyperbolic tangent function, which we call Scaled Gamma Tanh (SGT) activation. The proposed activation function is applied in two steps, first is the calculation of gamma version as y = f(x) = ax α for x
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/abba5826c72341c6b4fbd0ec386f50dd Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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