Hi, I just started using Matlab. That's why I got the following error and I don't know what to do. I will be glad if you can help.
Array formation and parentheses-style indexing with objects of class
'matlab.io.datastore.ImageDatastore' is not allowed. Use objects of class
'matlab.io.datastore.ImageDatastore' only as scalars or use a cell array.
Error in Untitled9 (line 30)
test_data = data(test, 1 : data_c – 1);
code:
layers = [
imageInputLayer([115 115 3],"Name","imageinput")
convolution2dLayer([3 3],32,"Name","conv_1","Padding","same")
maxPooling2dLayer([5 5],"Name","maxpool_1","Padding","same")
reluLayer("Name","relu_1")
convolution2dLayer([3 3],32,"Name","conv_2","Padding","same")
maxPooling2dLayer([5 5],"Name","maxpool_2","Padding","same")
reluLayer("Name","relu_2")
fullyConnectedLayer(17,"Name","fc")
dropoutLayer(0.5,"Name","dropout")
softmaxLayer("Name","softmax")
classificationLayer("Name","classoutput")];
% Import Data
data=imageDatastore('Images','IncludeSubfolders',true,'LabelSource','foldernames');
%data = load('C:\Users\EMYO\Desktop\cnn matlab deneme\Images');
% [trainingImages,testImages]== size[data];
% [trainingImages,testImages]=splitEachLabel(data,0.8,'randomized');
[data_r, data_c] = size(data);
% randomly divides the data sample into 10 parts
indices = crossvalind('Kfold', data_r, 10);
for i = 1 : 10
% Get the index logical value of the i-th test data
test = (indices == i);
% inversion, get the index logical value of the i-th training data
train = ~test;
%1 test, 9 training
test_data = data(test, 1 : data_c – 1);
test_label = data(test, data_c);
train_data = data(train, 1 : data_c – 1);
train_label = data(train, data_c);
% code using data
options = trainingOptions('adam', …
'MiniBatchSize',10, …
'MaxEpochs',6, …
'InitialLearnRate',1e-4, …
'Plots','training-progress');%Burası ağın öğrenmesi ile ilgili
mynet = trainNetwork(data_r,layers,options);%Burda ağ eğitiliyor.
Pred = classify(mynet,data_c);% Burda ağı test ediyor
end
accuricy=mean(Pred==testImages.Labels)
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