Extracting features using DL &use in ML for classification

版本 1.0.0 (383.9 KB) 作者: Sudharsana Iyengar
Tutorials to use Deep Learning to extract features and feed them into a SVM ML to classify diseased leaves.
0.0
(0)
113.0 次下载
更新时间 2021/10/14

查看许可证

This is demonstration of using Deep learning to extract features to be used in SVM algorithm to classify members. Here healthy and diseased leaves are classified. The input is in image format. AlexNet is used to perform Deep learning.
As long as the input and out put are in prescribed format, the code can be used to classify anything.
Data source:https://codeload.github.com/mehra-deepak/Plant-Disease-Detection/zip/refs/heads/master

引用格式

Sudharsana Iyengar (2025). Extracting features using DL &use in ML for classification (https://www.mathworks.com/matlabcentral/fileexchange/100626-extracting-features-using-dl-use-in-ml-for-classification), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2021a
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

版本 已发布 发行说明
1.0.0