Interface administrators, Administrators (Semantic MediaWiki), Curators (Semantic MediaWiki), Editors (Semantic MediaWiki), Suppressors, Administrators
7,785
edits
Feedback loop: Difference between revisions
no edit summary
(Created page with "{{see also|Machine learning terms}} ===Introduction== Feedback loops are crucial components of many machine learning algorithms, as they offer models a way to learn and improve over time. In this article, we'll define what feedback loops are, how they function within machine learning algorithms, and why they're so important. ==What is a feedback loop?== A feedback loop is a systemic mechanism in which an input is processed and an output produced. This output then serves...") |
No edit summary |
||
| Line 1: | Line 1: | ||
{{see also|Machine learning terms}} | {{see also|Machine learning terms}} | ||
==Introduction== | |||
A [[feedback loop]] is a systemic mechanism in which an [[input]] is processed and an [[output]] produced. This output then serves as input for subsequent iterations of the process, creating an endless cycle. A hallmark feature of such a feedback loop is how one iteration's output influences subsequent ones - creating self-regulating cycles. | |||
A feedback loop is a systemic mechanism in which an input is processed and an output produced. This output then serves as input for subsequent iterations of the process, creating an endless cycle. A hallmark feature of such a feedback loop is how one iteration's output influences subsequent ones - creating self-regulating cycles. | |||
Feedback loops can be either positive or negative. In a positive feedback loop, each iteration's output reinforces that of its previous iteration and leads to exponential growth or decay. On the other hand, in a negative feedback loop, each iteration dampens its input for future iterations, leading to stability or convergence. | Feedback loops can be either positive or negative. In a positive feedback loop, each iteration's output reinforces that of its previous iteration and leads to exponential growth or decay. On the other hand, in a negative feedback loop, each iteration dampens its input for future iterations, leading to stability or convergence. | ||