in Data Science by
Why we generally use Softmax non-linearity function as last operation in-network?

▼ Show 1 Answer

0 votes

It is because it takes in a vector of real numbers and returns a probability distribution. Its definition is as follows. Let x be a vector of real numbers (positive, negative, whatever, there are no constraints).

Then the i’th component of Softmax(x) is —


It should be clear that the output is a probability distribution: each element is non-negative and the sum over all components is 1.

Learn More with Madanswer

Related questions

0 votes
asked Mar 23, 2020 in Artificial Intelligence by aparna