A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.
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Updated
Nov 28, 2020 - JavaScript
A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.
A CNN model to classify hand drawn doodles.
Experience a thrilling sketching adventure with our TensorFlow-powered app! 🚀🎨 Get a hint, sketch in 30 seconds, and guess the mystery object based on revealed features. No more boring prompts – just creative fun! 🕵️♂️🎢🚀🎨
A simple doodle classifier trained on google's quick draw dataset.
This project is a reproduction of Mr. Daniel Shiffman (The Coding Train)'s project of the same name with his own toy neural network. This project is made with TensorFlow.js and has a lot of little tweaks and modifications, with more accuracy and a lot more data.
My solution for Quick, Draw! Doodle Recognition Challenge from Google using Keras DenseNet 121
Doodle Recognizer
Create and classify the doodle images into correct category
Multi layer perceptron is implemented in java script .used for XOR and Google's Doodle data set classification ❄️ ⚡
Can a neural network identify what you just doodled?
Convolutional Neural Network to convert crude sketches into faces
This is a doodle drawing game which can be played by multiple players. Here the doodles can be drawn in air and MAGICALLY the strokes are plotted on canvas and the drawings are then classified using a trained model to award points for successful prediction of the drawing.
Create and classify the doodle images into correct category.
Add a description, image, and links to the doodle-recognizer topic page so that developers can more easily learn about it.
To associate your repository with the doodle-recognizer topic, visit your repo's landing page and select "manage topics."