How to train features that have been extracted by using GoogleNet?

7 次查看(过去 30 天)
Hello,
I extracted features by using GoogleNet, but I do not know how to train it to create classifier?
Thanks in advance
  6 个评论

请先登录,再进行评论。

回答(2 个)

Jatin Waghela
Jatin Waghela 2017-10-3
If I understood you correctly, you would like to transfer learning to retrain GoogLeNet to create a classifier.
Please refer to the below documentation link which gives more information on Pretrained GoogLeNet convolutional neural network:
  7 个评论
Sivaramakrishnan Rajaraman
Has anyone tried to extract features from layers other than pool5-drop_7*7_s1? If so what is the syntax?
umit kacar
umit kacar 2018-3-7
https://www.mathworks.com/matlabcentral/answers/379635-error-using-activations-with-googlenet-in-r2017b#answer_302390

请先登录,再进行评论。


michael scheinfeild
use some layer as the feature . then you can use it for other classifier
net = googlenet;
inputSize = net.Layers(1).InputSize;
imds = imageDatastore(dbpathSave)
augimdsTrain = augmentedImageDatastore(inputSize(1:2),imds );
%%Extract Image Features
layer = 'loss3-classifier';%1000
featuresTrain = activations(net,augimdsTrain,layer,'OutputAs','rows');

类别

Help CenterFile Exchange 中查找有关 Image Data Workflows 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by