Multi Layer Perceptron in Python | XOR Gate Problem HD

In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers .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. The algorithm allows for online learning, in that it processes elements in the training set one at a time. A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one. SOURCE CODE: https://github.com/nikhilroxtomar/Multi-Layer-Perceptron-in-Python Hi I am Nikhil Tomar. FOLLOW ME ON: BLOGGER: https://i2developer.blogspot.in FACEBOOK: https://facebook.com/NKtomar TWITTER: https://twitter.com/nikhilroxtomar INSTAGRAM: https://instagram/nikhilroxtomar Visit My Website: http://idiotdeveloper.tk -~-~~-~~~-~~-~- Please watch: "Reading Packet Headers in Python" https://www.youtube.com/watch?v=6DaIR-gBZOY -~-~~-~~~-~~-~-