Simple Deep Learning Algorithms with K-fold Cross-Validation

This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.

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Jx-DLT : Deep Learning Toolbox

* This toolbox contains the convolution neural network (CNN)

* The < Main.m file > shows examples of how to use CNN programs with the benchmark data set. Note we demo the CNN using one to three convolution layers setup.

* Detail of this toolbox can be found at https://github.com/JingweiToo/Deep-Learning-Toolbox

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Zitieren als

Too, Jingwei, et al. “Featureless EMG Pattern Recognition Based on Convolutional Neural Network.” Indonesian Journal of Electrical Engineering and Computer Science, vol. 14, no. 3, Institute of Advanced Engineering and Science, June 2019, p. 1291, doi:10.11591/ijeecs.v14.i3.pp1291-1297.

Allgemeine Informationen

Kompatibilität der MATLAB-Version

  • Kompatibel mit R2017b und späteren Versionen

Plattform-Kompatibilität

  • Windows
  • macOS
  • Linux
Version Veröffentlicht Versionshinweise Action
1.1

See release notes for this release on GitHub: https://github.com/JingweiToo/Deep-Learning-Toolbox/releases/tag/1.1

1.0.2

-

1.0.1

-

1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.