Assertion: neural network | /r/HasProperty | black box
Facets:
value: in the sense
type: OTHER
value: because of their opacity
type: CAUSE
value: often
type: TEMPORAL
Source sentences:
text: This also ensures that an important part of the network is not lost, as neural networks are a black box.
text: The biggest issue, however, is that neural networks are “black boxes,” in which the user feeds in data and receives answers.
text: However, it is complex and is often regarded as a black box, i.e. users view the input and output of a neural network but remain clueless about the knowledge generating process.
text: A Neural network can be considered as a black box that is able to predict an output pattern when it recognizes a given input pattern.
text: Neural networks are described as black boxes because of their opacity.
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.
text: Second most issue to be considered is that neural networks are black boxes, in which the user groups the trained data and receives answers.