Assertion: neural network's neuron | /r/HasProperty | presented with the x vector of input values
Facets:
value: from the input layer
type: LOCATION
Source sentences:
text: When presented with the x vector of input values from the input layer, a hidden neuron computes the Euclidean distance of the test case from the neuron’s center point and then applies the RBF kernel function to this distance using the spread values.
text: When presented with the x vector of input values from the input layer, a hidden neuron computes the Euclidean distance of the test case from the neuron’s center point and then applies the RBF kernel function to this distance using the spread values.