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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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.
General Information
- Version 1.1.0 (4.28 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with R2017b and later releases
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1.0 | See release notes for this release on GitHub: https://github.com/JingweiToo/Deep-Learning-Toolbox/releases/tag/1.1 |
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| 1.0.2 | - |
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| 1.0.1 | - |
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| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
