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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);
- a1 = [ones(size(X, 1),1) X]';
- z2 = Theta1 * a1;
- a2 = [ones(1, size(z2,2)); sigmoid(z2)];
- z3 = Theta2 * a2;
- a3 = sigmoid(z3);
- [~, p] = max(a3, [], 1);
- % You need to return the following variables correctly
- % ====================== YOUR CODE HERE ======================
- % Instructions: Complete the following code to make predictions using
- % your learned neural network. You should set p to a
- % vector containing labels between 1 to num_labels.
- %
- % Hint: The max function might come in useful. In particular, the max
- % function can also return the index of the max element, for more
- % information see 'help max'. If your examples are in rows, then, you
- % can use max(A, [], 2) to obtain the max for each row.
- %
- % =========================================================================
- end
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