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- function p = predict(Theta1, Theta2, X)
- m = size(X, 1);
- num_labels = size(Theta2, 1);
- p = zeros(size(X, 1), 1);
- h1 = sigmoid([ones(m, 1) X] * Theta1');
- h2 = sigmoid([ones(m, 1) h1] * Theta2');
- for i =1:size(h2,1)
- if h2(i)>0.5
- p(i) = 1;
- else
- p(i) = 0;
- end
- end
- end
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