Extracting features using DL &use in ML for classification

Version 1.0.0 (384 ko) par 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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Mise à jour 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

Citation pour cette source

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. Extrait(e) le .

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Créé avec R2021a
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Version Publié le Notes de version
1.0.0