How to interpret loss and accuracy for a machine learning model [closed]

When I trained my neural network with Theano or Tensorflow, they will report a variable called “loss” per epoch.

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?

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