MATLAB Answers

Monitor Deep Learning Training Progress

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Zhangyu Huang
Zhangyu Huang on 8 Feb 2021
Answered: Rohit Pappu on 10 Feb 2021
In MATLAB R2020b, when I use trainingOptions to set up network, MATLAB cannot create a figure of training progress.
By the way, I specify 'Plots' to 'Training-Progress', but it doesn't show the figure like the below.
I never see this kind of figure during training progress.
So what is the problem? Is it a bug?

Accepted Answer

Rohit Pappu
Rohit Pappu on 10 Feb 2021
I tried reproducing the above issue using an example provided in the documentation -
digitDatasetPath = fullfile(matlabroot,'toolbox','nnet','nndemos','nndatasets','DigitDataset');
imds = imageDatastore(digitDatasetPath, 'IncludeSubfolders',true,'LabelSource','foldernames');
numTrainFiles = 750;
[imdsTrain,imdsValidation] = splitEachLabel(imds,numTrainFiles,'randomize');
inputSize = [28 28 1];
numClasses = 10;
layers = [
imageInputLayer(inputSize)
convolution2dLayer(5,20)
batchNormalizationLayer
reluLayer
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
options = trainingOptions('sgdm', ...
'MaxEpochs',4, ...
'ValidationData',imdsValidation, ...
'ValidationFrequency',30, ...
'Verbose',false, ...
'Plots','training-progress');
net = trainNetwork(imdsTrain,layers,options);
I was able to view the training progress
Please crosscheck the spellings of Name Value pairs in trainingOptions

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