Assertion: neural network's weight | /r/RelatedTo | input
Facets:
value: to a neuron
type: TRANSITIVE-OBJECT
Source sentences:
text: The weights associated with the inputs are: {0.2, 0.1, -0.3}
text: In Neural network, some inputs are provided to an artificial neuron, and with each input a weight is associated.
text: The weights W are the importance associated with the inputs.
text: This combination of characteristics, unique to sigmoid functions, is vital to the workings of a neural network algorithm — especially when a derivative calculation — such as the weight associated with each input to a neuron — is needed.