/numeralNet

Javascript neural network to recognize digits using the MNIST data set

Primary LanguageJavaScriptOtherNOASSERTION

numeralNet

Welcome to Numeral Net, a side-project, taken on by two Hack Rector students during solo week, built using BrainJS a javascript neural network library. The goal of this project was to gain familiarity with and exposure to javascripts' take on neural networking. Technologies we used are Node for the heavy lifting. Express for our routing and server architecture. Plain old javascript and jQuery for everything else. We've created a trained neural network, to a 0.02 error rate. It takes what you draw on the canvas and it calculates a confidence rating that the drawn number matches a digit between 0-9. It does this after being trained on 60,000 handwritten digits from the MNIST data set.

Instructions

Install node.js version v0.12.7 and npm@1.3.1.

npm install
npm start