In-Browser Digit recognition with Tensorflow.js and React using Mnist dataset
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Updated
Dec 11, 2020 - JavaScript
In-Browser Digit recognition with Tensorflow.js and React using Mnist dataset
🔢 Computer will recognize the digits you wrote on a beautiful web-interface
Implementation of a digit recognition using my Neural Network with the MNIST data set.
MNIST classifier Flask demo app. No autodiff libraries used.
A sample web app in node.js for hosting a CNTK model for hand written digits recognition
A Tensorflow Char recognizer using MNIST dataset
Neural network digit recognition (MNIST dataset) with NodeJS using error backpropagation.
A Handwritten Digit Recognizer on the Web. Model trained locally on MNIST with ANN built from scratch.
This project allows you to scribble digits on a web UI, and have tensorflow based CNN model recognize the what you have written.
MNIST Digit Classifier Using TensorflowJS and React, available at:
Recognizes Numbers with Deep Learning (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 machine learning project that uses a neural network to recognise human digits.
Web based Neural network from scratch
Interactive Visualization of how a Neural Network Operates
A handwriting number recognizer implementation using CNN MNIST on tensorflow-js.
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