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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인용 양식
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.
일반 정보
- 버전 1.1 (4.28 KB)
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GitHub에서 라이선스 보기
MATLAB 릴리스 호환 정보
- R2017b 이상 릴리스와 호환
플랫폼 호환성
- Windows
- macOS
- Linux
| 버전 | 퍼블리시됨 | 릴리스 정보 | 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 |