A Tensorflow Char recognizer using MNIST dataset
-
Updated
Aug 9, 2018 - JavaScript
A Tensorflow Char recognizer using MNIST dataset
Coursework for an ai course around the perceptron at Cologne University of Applied Sciences
Interactive Visualization of how a Neural Network Operates
An implementation showcasing the deployment of machine learning model onto the flask server with live demo deployed on AWS Lambda.
This project allows you to scribble digits on a web UI, and have tensorflow based CNN model recognize the what you have written.
How fast can you solve 20 math problems?
handwritten digit recognition in node.js using tensorflow
Experiment showing how you can use the power of Machine Learning directly in your browser to train a simple Neural Network with 3 layers to classify clothing items from the Fashion MNIST dataset.
Serverless digit recognition application
Recognize the digits drawn in a canvas
Real time MNIST classifier with Tensorflow JS
Image classifier written in javascript using the MNIST database of handwritten digits
An implementation of the MNIST neural network for use in backend ML systems.
A site demonstrating digit recognition with use of neural networks.
Web application for clasifying handwritten digits.
MNIST classifier Flask demo app. No autodiff libraries used.
✍️ Yann LeCun's MNIST handwritten digit dataset, made available to Node.js.
Modified National Institute of Standards and Technology (MNIST) - Neural Network Digit Predictor
Add a description, image, and links to the mnist topic page so that developers can more easily learn about it.
To associate your repository with the mnist topic, visit your repo's landing page and select "manage topics."