set labels for classifier deep learning toolbox

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jg 2020-5-10

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评论： Wiktor 2024-3-20

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Where do i set the labels for supervised training?

[XTrain,YTrain] = digitTrain4DArrayData;
idx = randperm(size(XTrain,4),1000);
XValidation = XTrain(:,:,:,idx);
XTrain(:,:,:,idx) = [];
YValidation = YTrain(idx);
YTrain(idx) = [];
layers = [
    fullyConnectedLayer(4096,"Name","fc6","BiasInitializer","ones","WeightsInitializer","ones")
    reluLayer("Name","relu6")
    dropoutLayer(0.5,"Name","dropout6")
    fullyConnectedLayer(4096,"Name","fc7")
    reluLayer("Name","relu7")
    dropoutLayer(0.5,"Name","dropout7")
    fullyConnectedLayer(4096,"Name","fc8")
    softmaxLayer("Name","softmax")
    classificationLayer("Name","classoutput")];
plot(layerGraph(layers));
net = trainNetwork(XTrain,YTrain,layers,options);

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回答（1 个）

Ankriti Sachan 2020-5-13

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By setting the labels for supervised training, I am assuming that you want to ask how to train the dataset with the labeled data.

I guess you are already following this documentation - https://www.mathworks.com/help/deeplearning/ref/trainnetwork.html

Check the section here - https://www.mathworks.com/help/deeplearning/ref/trainnetwork.html#d120e82918

For the function,

net = trainNetwork(X,Y,layers,options), it is mentioned that

X = Training data

Y = Labels of the data that you are training the model with

layers = Neural network layers

option = Training options.

So I guess ‘Y’ is the variable that you are looking for.

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Wiktor 2024-3-20

Hi! If I have augmentedImageDatastore created from imageDatadtore with defined Labels to every element, can I skip "Y" in trainNetwork function?

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