About this document

Understanding Perceptron Algorithm by Grestudent Rao is a document available to read on EtoBox.

This document discusses perceptrons, which are algorithms used in machine learning for supervised learning of binary classifiers. A perceptron is a linear classifier that makes predictions based on a linear combination of weights and a feature vector. It allows for online learning by processing training set elements one at a time. Perceptrons were first implemented in custom hardware in the late 1950s as one of the earliest artificial neural networks.

Author

Grestudent Rao

Language

EN