A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.

A CNN model to classify hand drawn doodles.

My solution for Quick, Draw! Doodle Recognition Challenge from Google using Keras DenseNet 121

Convolutional Neural Network to convert crude sketches into faces

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! 🕵️‍♂️🎢🚀🎨

Can a neural network identify what you just doodled?

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.

Create and classify the doodle images into correct category

Create and classify the doodle images into correct category.

Doodle Recognizer

Multi layer perceptron is implemented in java script .used for XOR and Google's Doodle data set classification ❄️ ⚡

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.