loadCIFARData.m

function [XTrain,YTrain,XTest,YTest] = loadCIFARData(location)

location = fullfile(location,'cifar-10-batches-mat');

[XTrain1,YTrain1] = loadBatchAsFourDimensionalArray(location,'data_batch_1.mat');
[XTrain2,YTrain2] = loadBatchAsFourDimensionalArray(location,'data_batch_2.mat');
[XTrain3,YTrain3] = loadBatchAsFourDimensionalArray(location,'data_batch_3.mat');
[XTrain4,YTrain4] = loadBatchAsFourDimensionalArray(location,'data_batch_4.mat');
[XTrain5,YTrain5] = loadBatchAsFourDimensionalArray(location,'data_batch_5.mat');
XTrain = cat(4,XTrain1,XTrain2,XTrain3,XTrain4,XTrain5);
YTrain = [YTrain1;YTrain2;YTrain3;YTrain4;YTrain5];

[XTest,YTest] = loadBatchAsFourDimensionalArray(location,'test_batch.mat');
end

function [XBatch,YBatch] = loadBatchAsFourDimensionalArray(location,batchFileName)
s = load(fullfile(location,batchFileName));
XBatch = s.data';
XBatch = reshape(XBatch,32,32,3,[]);
XBatch = permute(XBatch,[2 1 3 4]);
YBatch = convertLabelsToCategorical(location,s.labels);
end

function categoricalLabels = convertLabelsToCategorical(location,integerLabels)
s = load(fullfile(location,'batches.meta.mat'));
categoricalLabels = categorical(integerLabels,0:9,s.label_names);
end