Sigmoid and softmax functions: how they work and when to use each
Sigmoid and softmax turn the scores of a classifier into probabilities. The sigmoid turns one score into a probability between 0 and 1. The softmax turns several scores, one per class, into probabilities that sum to 1. This article explains both with formulas and examples, and shows when to use each.
· 8 min