Assertion: neural network's function | /r/HasProperty | approximated by multi-layer perceptron
Facets:
value: closely
type: DEGREE
value: arbitrarily
type: MANNER
value: with just one hidden layer
type: OTHER
Source sentences:
text: The universal approximation theorem for neural networks states that every continuous function that maps intervals of real numbers to some output interval of real numbers can be approximated arbitrarily closely by a multi-layer perceptron with just one hidden layer.