A perceptron is a neural network unit (an artificial neuron) that does certain computations to detect features. It is an algorithm for supervised learning of binary classifiers. This algorithm is used to enable neurons to learn and processes elements in the training set one at a time.
There are two types of perceptrons:
1. Single-Layer Perceptron
Single layer perceptrons can learn only linearly separable patterns.
2. Multilayer Perceptrons
Multilayer perceptrons or feedforward neural networks with two or more layers have the higher processing power.
