MATLAB: How to perform layer wise fine tuning of Alex Net for medical image classification

fine tuning alexnet layers

I want to perform layer-wise fine tuning of Alex net as given in Table II of paper AN1. How to do this in Matlab?

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To find more information on Transfer Learning and Fine-Tuning of CNNs, you can go to following documentation page:

https://www.mathworks.com/help/nnet/examples/transfer-learning-and-fine-tuning-of-convolutional-neural-networks.html

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MATLAB: Transfer learning layers in alexnet and googlenet

Here is a page where you can compare pretrained networks: https://www.mathworks.com/help/deeplearning/ug/pretrained-convolutional-neural-networks.html

MATLAB: Transfer Learning Using AlexNet

A really simple example is as follows:

vid = videoinput('winvideo', 1);
set(vid, 'ReturnedColorSpace', 'RGB');
img = getsnapshot(vid);
labelMachine(img,net,classifier) % net and classifier are from your transfer learning on alexnet

function label = labelMachine(img,net,classifier)
  featureLayer = 'fc7';
  % Pre-process the image as required for the CNN
  img = imresize(img, [227 227]);
  % Extract image features using the CNN
  imageFeatures = activations(net, img, featureLayer);
  % Make a prediction using the classifier
  label = char(predict(classifier, imageFeatures));
end

I did a project that used a webcam and alex net transfer learning which can be found here if you need further referances.

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