Multithreaded c++ program transforms ndjson to images
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Updated
Nov 13, 2017 - C++
Multithreaded c++ program transforms ndjson to images
Identifying geometrical shapes from the google's quickdraw dataset using Neural Networks:train:
An easy to read and Object Oriented implementation of a simple Neural Network using back-propagation and hidden layers, applied on a basic image classification problem.
Using Google's Quick Draw dataset to build a neural network to classify sketches
Model and Android app for sketch recognition using Google's quickdraw dataset
Keras light-weight model for sketch images classification using Quick!Draw dataset
An implementation of Google's Quick Draw Project
Capstone Project done during my Academic Internship at National University of Singapore (NUS).
Web app to detect user hand-drawn sketches on a canvas. Using google's quickdraw dataset. App built using python with flask and keras API.
Classify your random messy sketches
This project tries to create new doodles using GAN. This project uses google's quick draw data set
A simple CNN model that classifies doodles into 100 classes.
SketchRNN Implementation in Tensorflow 2.0
CNN based model using Quick-Draw-recognition Dataset
A subset of the famous Google "Quick Draw" dataset
Training notebooks for the quickdraw dataset
Dataset of 25k penises: an appendix to the Quick, Draw! Dataset
Quick Draw Implementation that recognize the Doodles and the Shapes you Feed into System.
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