Assertion: neural network's parameter | /r/HasProperty | linear
Facets:
value: from hidden layer to output layer
type: TRANSITIVE-OBJECT
Source sentences:
text: For example, notice that the following regression predicted values are considered linear predictions, despite non-linear transformations of the inputs because the parameters are linear:
text: This is because the only parameters that are adjusted in the learning process are the linear mapping from hidden layer to output layer.