Assertion: neural network's output | /r/HasProperty | weighted vote
Facets:
value: in this case
type: TEMPORAL
value: at the end
type: TEMPORAL
value: on all perceptrons
type: LOCATION
Source sentences:
text: Each perceptron will also be given another weight corresponding to how many examples do they correctly classify before wrongly classifying one, and at the end the output will be a weighted vote on all perceptrons.
text: These artificial neurons however were different from perceptrons in what they returned as output, which in this case was the weighted input.