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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!

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

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