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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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 (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 | 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 |