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,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000566 |