For the trainNetwork function, progress plots for training are not closing, except if done manually. How do I close it? I have tried close all, close force, close(fig), & more
Please only answer if you have tried to use trainNetwork with the same plot below, and the answer works for that in Matlab 2023a and Matlab2023b as this seems to be a special case where the close function does not work as normal, and more. I have tried many things and other things. Below is the code.
options = trainingOptions(‘adam’, …
‘InitialLearnRate’,0.002, …
‘LearnRateSchedule’,’piecewise’,…
‘LearnRateDropPeriod’,1000, …
‘LearnRateDropFactor’,0.75,…
‘MiniBatchSize’,40,…
‘Shuffle’,’every-epoch’, …
‘MaxEpochs’,7000, …
‘Verbose’,false, …
‘Plots’,’training-progress’, …
‘ExecutionEnvironment’,’gpu’);
%MaxEpochs was 7000,
[net, info] = trainNetwork(trainEps,trainH,layers,options);
currentfig = findall(groot,’Tag’,’NNET_CNN_TRAININGPLOT_UIFIGURE’);
save([namedd2],…
"net","cmlSz","test","lblTrain","ulTrain",…
"cmlPref","cmlMed","cmlSuf","info")
close all
clear trainEpsPlease only answer if you have tried to use trainNetwork with the same plot below, and the answer works for that in Matlab 2023a and Matlab2023b as this seems to be a special case where the close function does not work as normal, and more. I have tried many things and other things. Below is the code.
options = trainingOptions(‘adam’, …
‘InitialLearnRate’,0.002, …
‘LearnRateSchedule’,’piecewise’,…
‘LearnRateDropPeriod’,1000, …
‘LearnRateDropFactor’,0.75,…
‘MiniBatchSize’,40,…
‘Shuffle’,’every-epoch’, …
‘MaxEpochs’,7000, …
‘Verbose’,false, …
‘Plots’,’training-progress’, …
‘ExecutionEnvironment’,’gpu’);
%MaxEpochs was 7000,
[net, info] = trainNetwork(trainEps,trainH,layers,options);
currentfig = findall(groot,’Tag’,’NNET_CNN_TRAININGPLOT_UIFIGURE’);
save([namedd2],…
"net","cmlSz","test","lblTrain","ulTrain",…
"cmlPref","cmlMed","cmlSuf","info")
close all
clear trainEps Please only answer if you have tried to use trainNetwork with the same plot below, and the answer works for that in Matlab 2023a and Matlab2023b as this seems to be a special case where the close function does not work as normal, and more. I have tried many things and other things. Below is the code.
options = trainingOptions(‘adam’, …
‘InitialLearnRate’,0.002, …
‘LearnRateSchedule’,’piecewise’,…
‘LearnRateDropPeriod’,1000, …
‘LearnRateDropFactor’,0.75,…
‘MiniBatchSize’,40,…
‘Shuffle’,’every-epoch’, …
‘MaxEpochs’,7000, …
‘Verbose’,false, …
‘Plots’,’training-progress’, …
‘ExecutionEnvironment’,’gpu’);
%MaxEpochs was 7000,
[net, info] = trainNetwork(trainEps,trainH,layers,options);
currentfig = findall(groot,’Tag’,’NNET_CNN_TRAININGPLOT_UIFIGURE’);
save([namedd2],…
"net","cmlSz","test","lblTrain","ulTrain",…
"cmlPref","cmlMed","cmlSuf","info")
close all
clear trainEps deep learning MATLAB Answers — New Questions
