How to plot performance graph after CNN training

I am new in deep learning and unable to plot performance graph after training my CNN architecture . My code is as follows :-

   opts = trainingOptions('sgdm',
    'Momentum', 0.9,
    'InitialLearnRate', 0.001, 
    'LearnRateSchedule', 'piecewise',
    'LearnRateDropFactor', 0.1,
    'LearnRateDropPeriod', 8,
    'L2Regularization', 0.004,
    'MaxEpochs', 40,
    'MiniBatchSize', 128,
    'Verbose', true);

   cifar10Net = trainNetwork(trainingImages, trainingLabels, layers, opts);

   YTest = classify(cifar10Net, testImages);

   accuracy = sum(YTest == testLabels)/numel(testLabels)

Answer 1

[Parag]

Hi, the current code does not include instructions to plot the performance graph (training progress, accuracy, loss, etc.). However, MATLAB automatically displays the training progress plot by default when using the "trainingOptions" function with the "Plots" property set to "training-progress."

Modify the “trainingOptions” to include the “Plots” parameter:

Please refer to MATLAB code for the same

opts = trainingOptions('sgdm', ... 
    'Momentum', 0.9, ... 
    'InitialLearnRate', 0.001, ... 
    'LearnRateSchedule', 'piecewise', ... 
    'LearnRateDropFactor', 0.1, ... 
    'LearnRateDropPeriod', 8, ... 
    'L2Regularization', 0.004, ... 
    'MaxEpochs', 40, ... 
    'MiniBatchSize', 128, ... 
    'Verbose', true, ... 
    'Plots', 'training-progress'); % Enable performance graph 

This will display a real-time training progress plot, including accuracy, loss, and learning rate changes during training.