Couple of 2d visualizations for Perceptron Learning Algorithm (PLA) are showing the behavior of plain vanilla PLA.
Generating artificial test data for Machine Learning (ML) algorithms is an important step in their development. This post discusses generation and plotting of linearly separable test data for binary classifiers like Perceptron.
The Perceptron Learning Algorithm (PLA) is one of the simplest Machine Learning (ML) algorithms. This post goes through an elementary example to illustrate how PLA works.
Make sure to check out trueGeiger! This is an app for iOS devices to detect high energy radiation, co-developed with a friend of mine and available in app store.
The video explains how it works:
