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Your search keyword '"Priego, Belém"' showing total 5 results
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5 results on '"Priego, Belém"'

1. Automatic Polarity Identification on Twitter Using Machine Learning

Author

Castro, José Carmen Morales, Cabrera, Rafael Guzmán, Pinales, José Ruiz, Carrillo, Luis Manuel Ledesma, Priego, Belém, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor

Published
2023
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4. Wavelets as activation functions in Neural Networks.

Author

Herrera, Oscar, Priego, Belém, Pinto, David, Beltrán, Beatriz, and Singh, Vivek

Subjects
*DEEP learning
Abstract

Traditionally, a few activation functions have been considered in neural networks, including bounded functions such as threshold, sigmoidal and hyperbolic-tangent, as well as unbounded ReLU, GELU, and Soft-plus, among other functions for deep learning, but the search for new activation functions still being an open research area. In this paper, wavelets are reconsidered as activation functions in neural networks and the performance of Gaussian family wavelets (first, second and third derivatives) are studied together with other functions available in Keras-Tensorflow. Experimental results show how the combination of these activation functions can improve the performance and supports the idea of extending the list of activation functions to wavelets which can be available in high performance platforms. [ABSTRACT FROM AUTHOR]

Published
2022
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