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Simple Deep Learning Algorithms with K-fold Cross-Validation

version 1.0.2 (3.28 KB) by Jingwei Too
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.

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Updated 22 Jul 2020

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This toolbox contains deep learning algorithms
(1) Convolution neural network (CNN)

The "Main" script 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.

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Detail of CNN can be found in the following papers:
[1] Too, J., Abdullah, A., Saad, N.M., Ali, N.M. and Zawawi, T.T., 2019. Featureless EMG pattern recognition based on convolutional neural network. Indonesian Journal of Electrical Engineering and Computer Science, 14(3), pp.1291-1297.
DOI: http://doi.org/10.11591/ijeecs.v14.i3.pp1291-1297

Cite As

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.

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Updates

1.0.2

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1.0.1

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MATLAB Release Compatibility
Created with R2018a
Compatible with R2017b to any release
Platform Compatibility
Windows macOS Linux

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