Assertion: neural network's output | /r/HasProperty | computed
Facets:
value: w by the weight
type: OTHER
value: by multiplying the input
type: MANNER
value: by passing the state
type: MANNER
Source sentences:
text: The output of the GNN is computed by passing the state h_v as well as the feature x_v to an output function
text: The output layer takes the inputs which are passed in from the layers before it, and performs the calculations through its neurons and then the output is computed.
text: The output Y from the neuron is computed as shown in the Figure 1.
text: The output of the network is computed by multiplying the input (x) by the weight (w 0 ) and passing the result through some kind of activation function (e.g. a sigmoid function.)
text: The output Y from the neuron is computed as shown in the Figure 1.