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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Citar como

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.

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión desde R2017b

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión 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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.