Perceptron Algorithm | Pegasos Algorithm | Support Vector Machine | Linear Classifier Among Dataset | Deep Learning | Machine Learning
PERCEPTRON ALGORITHM Perceptron Algorithm is one of the most used algorithm in classifying data.It frequently seems little tough while learning first time. In today's post , We'll try to understand it well in brief with full explanation. Perceptron Algorithm is used whenever given dataset can be classified into two parts or it has only two labels.(One can consider it as +1, -1) There are three version of Perceptron Algorithm: Simple Perceptron Average Percepron Pegasos Algorithm or Support Vector Machine Relax! Terms are sounding dangerous but they are really very easy.Let me explain you. 1.Simple Perceptron: The single target of perceptron algorithm is to find a Linear classifier( say Linear equation) on one side of which are all positively labelled point and on another side all negatively labelled points are there. As we know any linear equation can be written as, Y= θ .X + θ 0 Using Perceptron Our Aim is to find those value of θ vec...