classify images in matlab

main.m
imds = imageDatastore('path_to_image_folder');
[imdsTrain,imdsValidation,imdsTest] = splitEachLabel(imds,0.7,0.15,0.15,'randomized');
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main.m
layers = [
    imageInputLayer([32 32 3])
    convolution2dLayer(3,32,'Padding','same')
    batchNormalizationLayer
    reluLayer
    maxPooling2dLayer(2,'Stride',2)
    convolution2dLayer(3,64,'Padding','same')
    batchNormalizationLayer
    reluLayer
    maxPooling2dLayer(2,'Stride',2)
    convolution2dLayer(3,128,'Padding','same')
    batchNormalizationLayer
    reluLayer
    maxPooling2dLayer(2,'Stride',2)
    fullyConnectedLayer(10)
    softmaxLayer
    classificationLayer];
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main.m
options = trainingOptions('adam', ...
    'MaxEpochs',20, ...
    'MiniBatchSize',128, ...
    'ValidationData',imdsValidation, ...
    'ValidationFrequency',30, ...
    'Plots','training-progress');
net = trainNetwork(imdsTrain,layers,options);
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main.m
YPred = classify(net,imdsTest);
YTest = imdsTest.Labels;
accuracy = sum(YPred == YTest)/numel(YTest);
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