How to extract features from different layers in GoogLeNet?

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.

Answer 1

[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');