Extracting features from an intermediate layer in vgg16.

Hello,

I am trying to extract features from layer 32 of vgg16 model. It's the max-pooling layer just above the first fully-connected layer.

Here are the model's layers as defined in matlab: https://in.mathworks.com/help/deeplearning/ref/vgg16.html

Thank you for your answers.

Answer 1

[Saurabh Chavan]

Found what I was seeking for.

Here's an example code:

net = vgg16;
I = imread('flower.jpg');
featureMap = activations(net, I, 'pool5');
disp(featureMap);