Editing Sigmoid function (section)

== Further reading ==
* {{cite book |title=Machine Learning |author-first=Tom M. |author-last=Mitchell |publisher=WCB [[McGraw–Hill]] |date=1997 |isbn=978-0-07-042807-2}}. (NB. In particular see "Chapter 4: Artificial Neural Networks" (in particular pp.&nbsp;96–97) where Mitchell uses the word "logistic function" and the "sigmoid function" synonymously – this function he also calls the "squashing function" – and the sigmoid (aka logistic) function is used to compress the outputs of the "neurons" in multi-layer neural nets.)
* {{cite web |title=Continuous output, the sigmoid function |author-first=Mark |author-last=Humphrys |url=http://www.computing.dcu.ie/~humphrys/Notes/Neural/sigmoid.html |access-date=2022-07-14 |url-status=live |archive-url=https://web.archive.org/web/20220714165249/https://humphryscomputing.com/Notes/Neural/sigmoid.html |archive-date=2022-07-14}} (NB. Properties of the sigmoid, including how it can shift along axes and how its domain may be transformed.)