Simple Deep Learning Algorithms with K-fold Cross-Validation

版本 1.1 (4.3 KB) 作者: Jingwei Too
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.
5.0
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3.2K 次下载
更新时间 2020/12/20
在 GitHub 上查看许可证

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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引用格式

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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版本 已发布 发行说明
1.1

See release notes for this release on GitHub: https://github.com/JingweiToo/Deep-Learning-Toolbox/releases/tag/1.1
1.0.2

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1.0.1

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1.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。