title: ANN multiple vs single outputs
body: <p>I recently started studying ANN, and there is something that I've been trying to figure out that I can't seem to find an answer to (probably because it's too trivial or because I'm searching for the wrong keywords..). </p>
  
  <p>When do you use multiple outputs instead of single outputs? I guess in simplest case of 1/0-classification its the easiest to use the "sign" as the output activiation function. But in which case do you use several outputs? Is it if you have for instance a multiple classification problem, so you want to classify something as, say for instance, A, B or C and you choose 1 output neuron for each class? How do you determine which class it belongs to?</p>