Assertion: neural network | /r/CapableOf | approximate any function
Facets:
value: to outputs
type: TRANSITIVE-OBJECT
value: from examples in the training dataset
type: OTHER
value: to best map inputs
type: PURPOSE
Source sentences:
text: There’s a “Universal approximation theorem”, which says that neural network with just one hidden layer can approximate any function as good as you want.
text: A neural network learns or approximates a function to best map inputs to outputs from examples in the training dataset.
text: A neural network is a black box in the sense that while it can approximate any function, studying its structure won't give you any insights on the structure of the function being approximated.