threshold function

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

A threshold function changes its value sharply when its input reaches a particular value (the threshold). The simplest is a step function from zero (or –1) when it input is less than zero to 1 thereafter. A hard threshold is simple to implement, but can inhibt learning; so neural networks typcally use a non-linear sigmoid function instead.

Used in Chap. 6: pages 75, 76

Also known as thresholding function

Step threshold function

Sigmoid threshold function