Deep learning toolbox keeps disappearing

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Hey community,
Everytime I close Matlab I will have to re-install the deep learning toolbox in order to be able to load and interpret the convolutional neural networks. I have also noticed that the toolbox's apps are missing in the Apps section but in the add-on sectionI find the deep learning toolbox installed so I have to uninstall and reinstall it!
Thank you so much.
Here's the error:
In main/importSignalMenuSelected (line 769)
In matlab.apps.AppBase>@(source,event)tryCallback(appdesigner.internal.service.AppManagementService.instance(),app,callback,requiresEventData,event) (line 37)
In matlab.ui.internal.controller/WebMenuController/fireActionEvent (line 67)
In matlab.ui.internal.controller/WebMenuController/handleEvent (line 55)
In matlab.ui.internal.controller.WebMenuController>@(varargin)obj.handleEvent(varargin{:}) (line 36)
Undefined function 'classify' for input arguments of type 'uint32'.
Error in main/importSignalMenuSelected (line 770)
type=classify(net.Faridtypeclassifier,X);
Error using matlab.ui.internal.controller.WebMenuController/fireActionEvent (line 67)
Error while evaluating Menu Callback.

Risposta accettata

David Willingham
David Willingham il 9 Ago 2022
Perhaps your preferences directory has become corrupted. Maybe try deleting the preferences directory and restarting MATLAB.
To find the preferences directory, type:
>> prefdir
Delete the folder and then restart MATLAB. This will force MATLAB to regenerate it again.
  2 Commenti
Farid
Farid il 9 Ago 2022
Thank you so much David,
Did that, I will keep you updated on the result.
Farid
Farid il 11 Ago 2022
@David yes it actually did!

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Più risposte (1)

yanqi liu
yanqi liu il 9 Ago 2022
Modificato: yanqi liu il 9 Ago 2022
yes,sir,may be use
type=classify(net.Faridtypeclassifier,mat2gray(X));
  2 Commenti
Farid
Farid il 9 Ago 2022
Thank you, it doesn't help really. when I try to run:
net=load("test.mat"); %test mat is a convolutional neural network.
I face the following warning:
Warning: Variable 'layers_1' originally saved as a nnet.cnn.layer.Layer cannot be instantiated as an object and will be read in as a uint32.

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