How to extract features from different layers in GoogLeNet?

2 次查看（过去 30 天）
Sivaramakrishnan Rajaraman
回答： michael scheinfeild 2018-7-22
Commonly we extract features using:
net = googlenet()
%Extract features
featureLayer = 'pool5-drop_7x7_s1';
How to extract features from a different layer earlier in the network? I attempting extracting from a different layer but the output of the layer is in 4D. I tried to squeeze it but its not working for those layers. Kindly assist with the syntax for other layers as well.

请先登录，再回答此问题。

采纳的回答

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');

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