Mercurial > hg > machine-learning-hw4
view predict.m @ 9:8dd249e99b5b default tip
Optimisations for backprop
author | Jordi Gutiérrez Hermoso <jordigh@octave.org> |
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date | Fri, 11 Nov 2011 20:36:02 -0500 |
parents | 395fc40248c3 |
children |
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function p = predict(Theta1, Theta2, X) %PREDICT Predict the label of an input given a trained neural network % p = PREDICT(Theta1, Theta2, X) outputs the predicted label of X given the % trained weights of a neural network (Theta1, Theta2) % Useful values m = size(X, 1); num_labels = size(Theta2, 1); % You need to return the following variables correctly p = zeros(size(X, 1), 1); h1 = sigmoid([ones(m, 1) X] * Theta1'); h2 = sigmoid([ones(m, 1) h1] * Theta2'); [dummy, p] = max(h2, [], 2); % ========================================================================= end