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Feature Exctraction using GoogLeNet with SVM

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ssk
ssk on 19 Mar 2019
Commented: ssk on 7 Sep 2019
Hi, there! I`m very new to matlab.
I run the GoogLenet code based on following link. It works well, however it take lots of time in case of big data.
reference:https://jp.mathworks.com/help/deeplearning/examples/train-deep-learning-network-to-classify-new-images.html
Therefore, I would like to extract learned image features from a pretrained convolutional neural network, and use those features to train an image classifier. And also, I have a plan to train a support vector machine (SVM) using fitcecoc (Statistics and Machine Learning Toolbox™) on the extracted features
Here is feature extraction code using Alexnet with SVM.
reference:https://jp.mathworks.com/help/deeplearning/examples/feature-extraction-using-alexnet.html?lang=en
I would like to run the feature extraction code using GoogLeNet with SVM, but not sure how to implement...
Could you have any tip to implement it?
Thank you in advance!

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Accepted Answer

Patrícia Silva
Patrícia Silva on 31 Jul 2019
I was having the same problem.
Check the chapter "Feature Extraction Using AlexNet" in that link, I think it also works with GoogleNet.
Good luck!

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ssk
ssk on 7 Sep 2019
Sorry for my late reply and thanks for your information!

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