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.
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.
In this tutorial we will use a database of images previously scraped from a Reddit JSON document to create a simple game based on an idea of guessing which of two images has a better upvotes score (karma).
Regarding Reddit JSON API, you can get a JSON document by adding /.json to any Reddit URL. This can be used to extract various data from any subreddit. To show how to do that in HTML5 using Phaser framework, we will create a Reddit’s Image Scraper application.