The perceptron is a foundational concept in machine learning, representing the simplest type of artificial neural network. This article explores the perceptron model, its functionality, and its significance in the world of Machine learning. Introduction to the Perceptron The perceptron, developed by Frank Rosenblatt in 1957, is a type of linear classifier used for binary classification tasks. It is the basis of more complex neural networks and deep learning models.
