Performance errors for neural networks
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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 个评论
Aditya Patil
2020-11-17
What issues did you face with 'Plots','training-progress' argument?
Fabrizio Bernardi
2020-11-17
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此问题已关闭。
2020-10-29
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2021-8-20
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