In this supervised learning tutorial, I’m going to show my project in which AI learns to play Gorillas game using supervised machine learning algorithms.
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.
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.
This tutorial shows an HTML5 implementation of the Seek Steering Behavior in which a vehicle (seeker) moves in a realistic manner toward a target using the seek algorithm.