Extracting features using DL &use in ML for classification

Tutorials to use Deep Learning to extract features and feed them into a SVM ML to classify diseased leaves.
Updated 14 Oct 2021

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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

Cite As

Sudharsana Iyengar (2024). 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. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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