Configurable Model for Sigmoid and Hyperbolic Tangent Functions

Configurable Model for Sigmoid and Hyperbolic Tangent Functions

Recurrent neural networks (RNNs) are considered to be among the most important types of neural networks especially for the applications where processing of a sequence of data comes to place. RNNs are in general computationally expensive and need a lot of processing time and power. Therefore, there i...

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Bibliographic Details
Main Authors:	Khaled Salah, Mona Safar, Mohamed Taher, Ashraf Salem
Format:	Article
Language:	English
Published:	ARQII PUBLICATION 2023-07-01
Series:	Applications of Modelling and Simulation
Subjects:	activation functions deep learning fpga lstm recurrent neural network
Online Access:	http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/395/153

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