Deep into Learning : 4. Perceptron and other alien creatures

In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function which can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. 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 weights with the feature vector. In simple words, Perceptron is a Computational Unit (or simply a function) which takes in set of inputs and gives out the result. The role of perceptron is to find a function which will approximately satisfy all the given data. Lets say X₁ (x₁1, x₁2, x₁3) are one of our data in a set of data X (X₁, X₂, …, Xₙ).