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Reference.org
Softmax function
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<p>The softmax function, also known as softargmax: 184 or normalized exponential function,: 198 converts a vector of K real numbers into a <a href="/facts/Probability_distribution/EpsKKVRu">probability distribution</a> of K possible outcomes. It is a generalization of the <a href="/facts/Logistic_function/IaQ254t7">logistic function</a> to multiple dimensions, and is used in <a href="/facts/Multinomial_logistic_regression/aeF5lqDE">multinomial logistic regression</a>. The softmax function is often used as the last <a href="/facts/Activation_function/S4NImL6L">activation function</a> of a <a href="/facts/Artificial_neural_network/6V1jMlkx">neural network</a> to normalize the output of a network to a <a href="/facts/Probability_distribution/EpsKKVRu">probability distribution</a> over predicted output classes. </p>