Softmax

Softmax converts a real vector to a vector of categorical probabilities. The elements of the output vector are in range (0, 1) and sum to 1.

Softmax is often used as the activation for the last layer of a classification network because the result could be interpreted as a probability distribution.

Calls SoftmaxActivation under the hood.