Ensemble of convolutional neural networks trained with different activation functions

Author:

Maguolo Gianluca,Nanni LorisORCID,Ghidoni Stefano

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Agostinelli, F., Hoffman, M. D., Sadowski, P. J., & Baldi, P. (2014). Learning Activation Functions to Improve Deep Neural Networks. CoRR, abs/1412.6.

2. Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural Machine Translation by Jointly Learning to Align and Translate. CoRR, abs/1409.0.

3. A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells;Boland;Bioinformatics,2001

4. Clevert, D.-A., Unterthiner, T., & Hochreiter, S. (2015). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). CoRR, abs/1511.0.

5. Statistical Comparisons of Classifiers over Multiple Data Sets;Demsar;Journal of Machine Learning Research,2006

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