How to monitor Deep learning training

Hello i wanna monitor the training when its happening , how should i change the code for that ?

outputFolder = fullfile('faceset'); 
rootFolder = fullfile(outputFolder,'faces'); 

categories = {'Ali','amanda','Betul','Clarisse','Elizabet','Erica','Firdevs','Furkan','Gabia','Gabriela','Irem','Justa','Kadir','Laura','Mehmet','Merve','Mustafa','Oguz','Ruta','Vika','Yigit'}; %choosing the categories which is gonna go to training

imds = imageDatastore(fullfile(rootFolder,categories),'LabelSource','foldernames'); 
tbl = countEachLabel(imds); 
minSetCount = min(tbl{:,2});
imds = splitEachLabel(imds, minSetCount,'randomize'); 

countEachLabel(imds); 

Ali = find(imds.Labels == 'Ali',1); 
amanda = find(imds.Labels == 'amanda',1);
net = resnet101();
net.Layers(1); 
net.Layers(end); 


[trainingSet,testSet] = splitEachLabel(imds,0.3,'randomize');

imageSize = net.Layers(1).InputSize; 

augmentedTrainingSet = augmentedImageDatastore(imageSize,...
    trainingSet,'ColorPreprocessing','gray2rgb'); 
augmentedTestSet = augmentedImageDatastore(imageSize,...
    testSet,'ColorPreprocessing','gray2rgb');

w1 = net.Layers(2).Weights;
w1 = mat2gray(w1); 
featureLayer = 'fc1000'; 
trainingFeatures = activations(net,augmentedTrainingSet,...
    featureLayer,'MiniBatchSize',32,'OutputAs','columns');

trainingLables = trainingSet.Labels;

classifier=fitcecoc(trainingFeatures,...
    trainingLables,'Learner','Linear','Coding','onevsall','ObservationsIn','columns');
testFeature = activations(net,augmentedTestSet,...
    featureLayer,'MiniBatchSize',32,'OutputAs','columns');

predictLabels = predict(classifier, testFeature,'ObservationsIn','columns');

testLables = testSet.Labels; 
confMat = confusionmat(testLables , predictLabels);
confMat = bsxfun(@rdivide , confMat , sum(confMat,2));
mean(diag(confMat));

[Mustafa Yildiz]

i tried to follow this https://se.mathworks.com/help/deeplearning/ug/monitor-deep-learning-training-progress.html but couldnt apply it in the code

[Mohammad Sami]

Are you trying to implement transfer learning ?

If so follow thes tutorials

https://www.mathworks.com/help/deeplearning/gs/get-started-with-transfer-learning.html

https://www.mathworks.com/videos/training-deep-learning-models-with-transfer-learning-1486670648501.html

[Mohammad Sami]

Matlab also provides a free online course on deep learning. You can check it out here

https://www.mathworks.com/learn/tutorials/deep-learning-onramp.html