Where is the problem with this code?

I will receive this message after entering the information(dsnew) into the deep learning application

invalid training data for classification network response must be categorical

location1 = fullfile(matlabroot,'bin','F18','test9','noise');
location2 = fullfile(matlabroot,'bin','F18','test9','1','main');
location3 = fullfile(matlabroot,'bin','F18','test9','1','validation');

noise  = imageDatastore({location1},'FileExtensions',{'.jpg','.png','.jpeg'},'IncludeSubfolders',true,'LabelSource','foldernames');
nonnoise  = imageDatastore({location2},'FileExtensions',{'.jpg','.png','.jpeg'},'IncludeSubfolders',true,'LabelSource','foldernames');
validation  = imageDatastore({location3},'FileExtensions',{'.jpg','.png','.jpeg'},'IncludeSubfolders',true,'LabelSource','foldernames');

aug1 = imageDataAugmenter('RandRotation',[0 90],'RandScale',[1.1 1.3]);
auimds1 = augmentedImageDatastore([224 224 1],nonnoise,'ColorPreprocessing','rgb2gray','DataAugmentation',aug1);
auimds2 = augmentedImageDatastore([224 224 1],noise,'ColorPreprocessing','rgb2gray');
validation1 = augmentedImageDatastore([224 224 1],validation,'ColorPreprocessing','rgb2gray');

dsnew = combine(noise,nonnoise);

[Jan]

It is a bad idea to store data in Matlab bin directory.

Please post the complete error message. This is better than letting the readers guess, which lines causes the problem.

[lech king]

It is true that my explanations were not enough

I'm sorry

The code executes correctly

I have merged 2 training data, one with noise and the other without noise, in the last line and saved in the dsnew variable

The deep learning app show this message when running

Answer 1

[Cris LaPierre]

Inspect your response variable. It apparently has the wrong data type.

If you don't yet know how to create categorical data, see this link.