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.
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.
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!