Feature Exctraction using GoogLeNet with SVM

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!

Answer 1

[Patrícia Silva]

I was having the same problem.

See if this can help: https://www.mathworks.com/help/deeplearning/ref/alexnet.html

Check the chapter "Feature Extraction Using AlexNet" in that link, I think it also works with GoogleNet.

Good luck!

[ssk]

Sorry for my late reply and thanks for your information!