mnist fashion in matlab

main.m
% Load training set
X_train = loadMNISTImages('mnist-fashion/train-images-idx3-ubyte');
y_train = loadMNISTLabels('mnist-fashion/train-labels-idx1-ubyte');

% Load test set
X_test = loadMNISTImages('mnist-fashion/t10k-images-idx3-ubyte');
y_test = loadMNISTLabels('mnist-fashion/t10k-labels-idx1-ubyte');

% Visualize a few images
figure;
for i = 1:16
    subplot(4,4,i);
    imshow(reshape(X_train(:,i),[28 28]));
    title(num2str(y_train(i)));
end
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main.m
% Define the neural network model
net = patternnet(10);

% Train the model using training data
net = train(net,X_train,y_train);

% Test the model using test data
y_pred = net(X_test);

% Calculate performance metrics
accuracy = sum(y_pred == y_test)/length(y_test);
confusion_matrix = confusionmat(y_test,y_pred);
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