Assertion: neural network's output | /r/HasProperty | interpreted as posterior probabilities
Facets:
value: by assigning a softmax activation function
type: MANNER
Source sentences:
text: By assigning a softmax activation function, a generalization of the logistic function, on the output layer of the neural network (or a softmax component in a component-based network) for categorical target variables, the outputs can be interpreted as posterior probabilities.
text: By assigning a softmax activation function, a generalization of the logistic function, on the output layer of the neural network (or a softmax component in a component-based network) for categorical target variables, the outputs can be interpreted as posterior probabilities.