Perceptron: The Neuron That Will Help You Understand Neural Networks
What is the utility of the perceptron? The perceptron was created in 1943 by Warren McCulloch and Walter Pitts. The fundamental idea behind its architecture is the ability to map an input value (x1, x2, …, xn) to a simple binary output value. However, the perceptron has some limitations, such as being useful only for binary classifications and requiring that the problem be linearly separable (which will be discussed later)....