Extracting features using DL &use in ML for classification

Versión 1.0.0 (384 KB) por Sudharsana Iyengar
Tutorials to use Deep Learning to extract features and feed them into a SVM ML to classify diseased leaves.
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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

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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. Recuperado .

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Se creó con R2021a
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1.0.0