Feature Exctraction using GoogLeNet with SVM

3 次查看（过去 30 天）
ssk
ssk 2019-3-19
评论： ssk 2019-9-7
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!

请先登录，再回答此问题。

采纳的回答

Patrícia Silva
Patrícia Silva 2019-7-31
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!

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Image Data Workflows 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by