Comparison of different convolutional neural network activation functions and methods for building ensembles for small to midsize medical data sets

HIGHLIGHTS

  • who: Loris Nanni et al. from the Department of Information Engineering, University of Padua, Via Gradenigo, Padova, Italy have published the article: Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets, in the Journal: Sensors 2022, 22, 6129. of /2022/
  • what: This study aims to examine the performance of both methods using a large set of twenty activations functions six of which are for the first time: 2D Mexican ReLU TanELU + GaLU Symmetric Symmetric GaLU and Flexible Building CNN Ensembles One of the objectives . . .

     

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