[P] Machine Learning: Doodle Recognition with Convolutional Neural Network
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:
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)
Play Doodle Predictor on my blog:
Source Code available on Github: