mnist fashion ffnew in matlab

main.m
% Load the MNIST Fashion dataset
[fashionTrainImages, fashionTrainLabels] = mnist_reader('fashion/train-images-idx3-ubyte', 'fashion/train-labels-idx1-ubyte');
[fashionTestImages, fashionTestLabels] = mnist_reader('fashion/t10k-images-idx3-ubyte', 'fashion/t10k-labels-idx1-ubyte');

% Initialize the parameters for the neural network
inputSize = size(fashionTrainImages, 2);
hiddenSize = 100;
numClasses = 10;
lambda = 1e-4;
alpha = 0.01;

% Train the feedforward neural network
options = optimset('MaxIter', 50);
theta = randInitializeWeights(inputSize, hiddenSize, numClasses);
[theta, cost] = fmincg(@(t)(nnCostFunction(t, inputSize, hiddenSize, numClasses, fashionTrainImages, fashionTrainLabels, lambda, alpha)), theta(:), options);

% Make predictions on the test set
[pred, prob] = predict(theta, inputSize, hiddenSize, numClasses, fashionTestImages);

% Calculate the accuracy of the predictions
accuracy = mean(double(pred == fashionTestLabels)) * 100;
fprintf('Accuracy: %g%%\n', accuracy);
1002 chars
23 lines