吴恩达的机器学习编程作业9：predict 神经网络预测结果

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);


% ====================== 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.
%
X = [ones(m, 1) X];
size(Theta1)
size(Theta2)
size(X)
z1 = sigmoid(Theta1 * X');
size(z1)
m = size(z1, 2)
z1 = [ones(1,m);z1];
size(z1)
z2 = sigmoid(Theta2 * z1);
size(z2)
[val,p] = max(z2,[],1);
p = p';








% =========================================================================


end