Assertion: neural network's layer | /r/CapableOf | pass value
Facets:
value: to the next layer
type: TRANSITIVE-OBJECT
value: as output
type: MANNER
Source sentences:
text: A layer is a container that usually receives weighted input, transforms it with a set of mostly nonlinear functions and then passes these values as output to the next layer in the neural net.
text: Last hidden layer passes on values to the output layer.
text: Second layer takes values from first layer and applies multiplication, addition and activation operations and passes this value to the next layer.