This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.
Al momento, stai seguendo questo contributo
- Vedrai gli aggiornamenti nel tuo feed del contenuto seguito
- Potresti ricevere delle email a seconda delle tue preferenze per le comunicazioni
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
**********************************************************************************************************************************
Cita come
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.
Informazioni generali
- Versione 1.1 (4,28 KB)
-
Visualizza la licenza su GitHub
Compatibilità della release di MATLAB
- Compatibile con R2017b e release successive
Compatibilità della piattaforma
- Windows
- macOS
- Linux
| Versione | Pubblicato | Note della release | 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 |