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Ensemble of Convolutional Neural Networks Trained with Different Activation Functions

Gianluca Maguolo,L. Nanni,S. Ghidoni

2019 · DOI: 10.1016/J.ESWA.2020.114048
Expert systems with applications · 69 Citations

TLDR

The goal of this work is to propose an ensemble of Convolutional Neural Networks trained using several different activation functions, and a novel activation function is here proposed for the first time to improve the performance of Convolved Neural Networks in small/medium size biomedical datasets.