How to save training plot in batch mode (deep learning toolbox)

조회 수: 18(최근 30일)
James Latshaw
James Latshaw 2020년 11월 14일
댓글: Théo 2021년 5월 10일
In regards to the deep learning toolbox, is there a way to save the training plots to a .mat, .jpg, or .fig?
My issue is that I am running my matlab scripts on a server in batch mode and won't actually see this plot (everything is over the terminal, run with batch files). However I can save data to a .mat file so that I can view it later. Is it possible to save the plot to as a file? Or, maybe there is a better way to do this?
Similar question, is there a way to re-generate the training progress plot after I have finished training the network if I have the net or DAGNetwork file?
Thank you so much for helping me out with this :)


James Latshaw
James Latshaw 2020년 11월 17일
However, this process can cause output errors if you have very large networks (using lots of memory) because you are trying to save a rich in data plot to memory. I found a work around as plotting the last value of training. So, this isn't a nice plot, but at least it give me some metric to evaluate the RMSE value (or accuracy):
function stop=savetrainingplot(info)
stop=false; %prevents this function from ending trainNetwork prematurely
if info.State=='done' %check if all iterations have completed
% if true
%saveas(gcf,'filename.png') % save figure as .png, you can change this
file_name = ['big3_performance_' num2str(floor(now*100000)) '.mat'];
% to_save_fig = findall(groot, 'Type', 'Figure');
% to_save_fig_last = to_save_fig(end);
%saveas(figure(to_save_fig(end)), file_name)
performance = [info.Iteration info.Epoch info.ValidationRMSE];
save(file_name, 'performance', '-v7.3')
I hope that this helps someone :)
  댓글 수: 1
Théo 2021년 5월 10일
After struggling for a few hours, I found a workaround :
savefig(currentfig, yourfig.fig, 'compact')
The display is a bit affected but still fine.
I found this parameter scrolling down the savefig help document.

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