Assertion: neural network's input | /r/HasProperty | multiplied by weight
Facets:
value: in mlp
type: LOCATION
value: for a given node
type: OTHER
value: in a node
type: LOCATION
Source sentences:
text: First, each input is multiplied by a weight:
text: Each input is multiplied with a weight (which is typically initialized with some random value) and the results are added together.
text: a. All the inputs x are multiplied with their weights w.
text: First, each input is multiplied by a weight:
text: For a given node, the inputs are multiplied by the weights in a node and summed together.
text: An activation function is fed by inputs which are multiplied by weights.
text: Inputs are multiplied with weights and fed to the activation function and in backpropagation, they are modified to reduce the loss.
text: In MLP the inputs are multiplied with weights and fed to the activation function.