Assertion: neural network's output | /r/HasProperty | correct
Facets:
value: to get the error
type: PURPOSE
Source sentences:
text: Over time, back-propagation causes the network to learn by making the gap between the output and the intended output smaller to the point where the two exactly match, so the neural network learns the correct output.
text: The higher the value of the output, the higher the probability that this output is the correct one -- or the more accurately the network predicts the user’s behavior.
text: In neural networks, you basically do forward-propagation to get the output of your model and check if this output is correct or incorrect, to get the error.