hyper-sinh: An accurate and reliable function from shallow to deep learning in TensorFlow and Keras

hyper-sinh: An accurate and reliable function from shallow to deep learning in TensorFlow and Keras

This paper presents the ‘hyper-sinh’, a variation of the m-arcsinh activation function suit-able for Deep Learning (DL)-based algorithms for supervised learning, including Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), such as the Long Short-Term Memory (LSTM). hyper-sinh,...

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Bibliographic Details
Main Authors: Luca Parisi, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Machine Learning with Applications
Subjects:
Activation
Deep learning
Convolutional Neural Network
Long short-term memory
TensorFlow
Keras
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000566

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http://www.sciencedirect.com/science/article/pii/S2666827021000566

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