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Performance errors for neural networks

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Fabrizio Bernardi
Fabrizio Bernardi on 29 Oct 2020
Closed: MATLAB Answer Bot on 20 Aug 2021
Hello eveyone, I saw that in shallow ANN, after training a network, I can see Training,Validation and testing performances using
plotperf(tr);
However, in my case I created a regression output layer to have a customized Loss function, and I used for training progress something like
options = trainingOptions('adam', ...
'MaxEpochs',50, ...
'GradientThreshold',2, ...
'InitialLearnRate',0.003, ...
'LearnRateSchedule','piecewise', ...
'LearnRateDropPeriod',33, ...
'LearnRateDropFactor',0.75,...
'Verbose',1, ...
'MiniBatchSize',50, ...
'Plots','training-progress');
net = trainNetwork(myInput,myTarget,layers,options);
Is it possible from this to have some functions that allows me to have a similiar perfomance plot as in the case of plotperform? Or a struct like tr?
Thank you for your help!
  2 Comments
Fabrizio Bernardi
Fabrizio Bernardi on 17 Nov 2020
I wanted to include validation as well, but I only now have seen the option to includit through XValidation and Yvalidation data! All solved, thanks for your time!

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