machine-learning-ex3_2

input_layer_size  = 400;

hidden_layer_size = 25;

num_labels = 10; 

 %%Loading and Visualizing Data

load('ex3data1.mat');
m = size(X, 1);

sel = randperm(size(X, 1));
sel = sel(1:100);

displayData(X(sel, :));

%%Loading Pameters

load('ex3weights.mat');

%%Implement Predict

pred = predict(Theta1, Theta2, X);

function p = predict(Theta1, Theta2, X)m = size(X, 1);num_labels = size(Theta2, 1);p = zeros(size(X, 1), 1);X=[ones(m,1),X];X1=sigmoid(X*Theta1.');X1=[ones(size(X1,1),1),X1];[~,p]=max(X1*Theta2.',[],2);end

fprintf('\nTraining Set Accuracy: %f\n', mean(double(pred == y)) * 100);

rp = randperm(m);

for i = 1:m
    % Display 
    fprintf('\nDisplaying Example Image\n');
    displayData(X(rp(i), :));


    pred = predict(Theta1, Theta2, X(rp(i),:));
    fprintf('\nNeural Network Prediction: %d (digit %d)\n', pred, mod(pred, 10));
    
    % Pause
    fprintf('Program paused. Press enter to continue.\n');
    pause;
end