trained stacked auto encoders

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Srinidhi Gorityala
Srinidhi Gorityala 2020-6-19
回答： Divya Gaddipati 2020-6-22
Helo.. iam working on pothole dataset classification by using trained stacked auto encoders concept. Below i have attached the matlab code... in that code they have loaded the dataset using digitTrainCellArrayData but i want to load the pothole dataset .Could any one please help me with the code that how to load the dataset folder.
Thans in advance:)
% Load the training data into memory
[xTrainImages,tTrain] = digitTrainCellArrayData;
% Display some of the training images
clf
for i = 1:20
subplot(4,5,i);
imshow(xTrainImages{i});
end
rng('default')
hiddenSize1 = 100;
autoenc1 = trainAutoencoder(xTrainImages,hiddenSize1, ...
'MaxEpochs',400, ...
'L2WeightRegularization',0.004, ...
'SparsityRegularization',4, ...
'SparsityProportion',0.15, ...
'ScaleData', false);
view(autoenc1)
figure()
plotWeights(autoenc1);
feat1 = encode(autoenc1,xTrainImages);
hiddenSize2 = 50;
autoenc2 = trainAutoencoder(feat1,hiddenSize2, ...
'MaxEpochs',100, ...
'L2WeightRegularization',0.002, ...
'SparsityRegularization',4, ...
'SparsityProportion',0.1, ...
'ScaleData', false);
view(autoenc2)

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回答（1 个）

Divya Gaddipati
Divya Gaddipati 2020-6-22
One way is to use imageDatastore.
datasetPath = fullfile('/path/to/dataset');
imds = imageDatastore(datasetPath, ...
'IncludeSubfolders',true,'LabelSource','foldernames');
Refer to the Load and Explore Image Data section in the following example:
https://www.mathworks.com/help/deeplearning/ug/create-simple-deep-learning-network-for-classification.html#TrainABasicConvolutionalNeuralNetworkForClassificationExample-1
For more information on imageDatastore, you can refer to the below link
https://www.mathworks.com/help/matlab/ref/matlab.io.datastore.imagedatastore.html

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