Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Perceptron
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
{{Short description|Algorithm for supervised learning of binary classifiers}} {{Redirect|Perceptrons|the 1969 book|Perceptrons (book)}} {{Machine learning|Supervised learning}} In [[machine learning]], the '''perceptron''' is an algorithm for [[supervised classification|supervised learning]] of [[binary classification|binary classifiers]]. A binary classifier is a function that can decide whether or not an input, represented by a vector of numbers, belongs to some specific class.{{r|largemargin}} It is a type of [[linear classifier]], i.e. a classification algorithm that makes its predictions based on a [[linear predictor function]] combining a set of [[Weighting|weights]] with the [[feature vector]].
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)