Quick Draw is a well known, AI drawing guessing game that challenges players to draw a doodle, and then, artificial intelligence guesses, what the drawings represent. This tutorial explains how to make it using machine learning and convolutional neural network!
In this article, I’m going to show the concept of making an AI Bot that plays Tetris like a real human. It’s not 100% perfect, but it’s quite good. To simulate a human brain, I used Machine Learning with Convolutional Neural Network.
Part 1 of the step by step video tutorial series on making a game like “Quick, Draw!“, an image classifier powered by Machine Learning. In this part, we will start developing our own game called Doodle Predictor that runs directly in the browser and recognizes doodles.
An introduction to the step by step video tutorial series on making an image classifier for doodle recognition. Using TensorFlow, we will learn how to do image classification to make a game like “Quick, Draw!“.
Welcome to a complete HTML5 tutorial with demo of a machine learning algorithm for the Flappy Bird video game. The aim of this experiment is programming an artificial intelligence game controller using neural networks and a genetic algorithm.
Naval Battle: Sea Ship Assault is an HTML5 arcade game with a war theme in which you have to take a command over a mobile coastal tank and destroy a fleet of enemy cargo ships before they deliver ammunition and provisions to the enemy troops.
Matchsticks: Endless Digit Hunter is an HTML5 one-button matchstick (aka toothpick) puzzle/logic game in which your goal is to rearrange all given math equations and make them true by moving just one match.