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!
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Supervised Learning Tutorial: AI Learns To Play Gorillas Game
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.
Machine Learning: AI Learns To Play Tetris with 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.
Image Classifier: Doodle Recognition with Convolutional Neural Network, Part 1 – Project Setup
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.
Image Classifier: Doodle Recognition with Convolutional Neural Network, Introduction
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!“.
Machine Learning Algorithm for Flappy Bird using Neural Network and Genetic Algorithm
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.
Steering Behaviors Part 1: Seek
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.