Azzera filtri
Azzera filtri

training progress graph of 'trainNetwork'

59 visualizzazioni (ultimi 30 giorni)
Deepak Sivadas
Deepak Sivadas il 1 Feb 2019
Commentato: Qiaohui He il 5 Lug 2022
Hi,
I am using trainNetwork function in deep neural network toolbox.
A graph appears automatically appears showing training progress. I like to know how can the plot styles (say, color, label size) be modified by user?
Also it is of interest to save the plot for future reference. But unlike matlab figure window, it doesnot allow that also.
Pls inform me on how to access and modify settings in training progress graph.
Thanks,
Deepak

Risposte (4)

Areej Varamban Kallan
Areej Varamban Kallan il 8 Feb 2019
Hi Deepak,
Please try the following:
  1. After the training is complete, close all the figures except the training plot.
  2. Execute the following commands on MATLAB command line:
h= findall(groot,'Type','Figure');
h.MenuBar = 'figure';
The training plot will now have a menu bar.
3. Click Edit-> Figure Properties. This will open the Poperty Editor window.
4. Use the options in the Property Editor window to change plot styles.
5. Similary, you can save the figure from 'File->Save'
To hide the menu bar, execute the following command on MATLAB command line:
h.MenuBar = 'none';
I hope this helps.
  10 Commenti
kh rezaee
kh rezaee il 15 Apr 2022
Modificato: kh rezaee il 15 Apr 2022
I appreciate your response, Areej Varamban Kallan. In the 2020 version, I was able to edit the output after I used your command for training progress figure. However, I am unable to edit the figure in version 2022, and I receive the following error message. Is there a way to make the menu appear?
Functionality not supported with figures created with the uifigure function.
Qiaohui He
Qiaohui He il 5 Lug 2022
Maybe u can try
[net tr] = trainNetwork(XTrain,YTrain,layers,options);
save(tr)
and the 'tr'will store the data of the training process. Then the data in workspace of tr.mat could be applied to use plot function.

Accedi per commentare.


avi.loey
avi.loey il 31 Lug 2019
Thankyou. This was exactly what I needed. Works perfectely !!!!

Amit DOegar
Amit DOegar il 18 Giu 2020
h= findall(groot,'Type','Figure');
h.MenuBar = 'figure';
How to do this for multiple open figures as in k-fold we need to save all plots
or how to get handle of all open figures in matlab
  1 Commento
krishna Chauhan
krishna Chauhan il 19 Lug 2020
Hey Amit
How are you able to see what cross validation its training?
I mean where to assign cross k validation in trainNetwork?

Accedi per commentare.


Xiao Liu
Xiao Liu il 18 Lug 2021
you can use the data from working space and plot one more picture for yourself.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by