Dabeen Park/Matlab/ANN

LABEL_COLUMN = 1;

 

tr_data = csvread('mnist_train.csv',1 ,0);

te_data = csvread('mnist_test.csv', 1, 0);

n = size(tr_data, 1);

 

training_label = tr_data(:, LABEL_COLUMN);

training_label(training_label == 0) = 10

training_label = dummyvar(training_label);

training_data = tr_data(:, LABEL_COLUMN+1:end);

 

test_label = te_data(:, LABEL_COLUMN)';

test_label(test_label == 0) = 10;

test_label = dummyvar(test_label);

test_data = te_data(:, LABEL_COLUMN+1:end);

 

predict_label = mnistClassifier(test_data);

[~, predict_label] =

acc = length(test_label == predict_label) / length(test_label);

disp(size(predict_label));

 

disp(acc);