title: How to interpret loss and accuracy for a machine learning model
body: <p>When I trained my neural network with Theano or Tensorflow, they will report a variable called "loss" per epoch.</p>
  
  <p>How should I interpret this variable? Higher loss is better or worse, or what does it mean for the final performance (accuracy) of my neural network?</p>