Hi all,

I’m launching a step-by-step video tutorial series on making a game like “Quick, Draw!”. As you probably know, it is an online game that challenges players to draw a doodle and then artificial intelligence guesses what the drawings represent. So I thought this group would appreciate this project.

Using Phaser 2 framework and Tensorflow.js library, I’ve created a complete HTML5 game called Doodle Predictor that runs directly in the browser and recognizes doodles.

To classify drawings, the game uses Machine Learning with a Convolutional Neural Network. The model is trained on a small subset of the Quick Draw Dataset.

I tried to make this project easy enough for someone without any machine learning experience to follow. So if you are interested in it, here are the links:

Video Episode 1:

Introduction

Video Episode 2:

Part 1 – Project Setup

Part 2 – Getting Data

Part 3 – Building Model

Part 4 – Training Model

Video Episode 3: (coming soon)

Part 5 – Predicting Samples

Part 6 – Drawing Doodles

Part 7 – Recognizing Doodles

Part 8 – Adding More Categories

Video Episode 4: (coming soon)

Game Demo

Play Doodle Predictor on my blog:

https://www.askforgametask.com/tutorial/doodle-recognition-convolutional-neural-network-intro

Source Code available on Github:

https://github.com/ssusnic/Machine-Learning-Doodle-Recognition