title: Back propagation algorithm when we have two outputs
body: <p>I have a big problem I want to implement my neuronal neutwork with 2 neurons outputs. Sth like that :</p>
  
  <p><img src="https://i.stack.imgur.com/EHqDB.png" alt="Example"></p>
  
  <p>And I want to use backpropagation algorithm, but I don't know how to calculate a error, because I have a output with 2 neurons, when I have a only one neuron on a output that's very easy to use a backpropagation algorithm from one exit error, but with two neurons? I thinking about calculate error for every output seperately but then I must calculate seperately back propagation for 2 cases and I get "two different hidden layers" (For every neuron in hidden layer I have a weights for two cases). Mayby anyone knows some better solutions? </p>
  
  <p>I will be very gratefull for any help.</p>