In-Browser Digit recognition with Tensorflow.js and React using Mnist dataset
🔢 Computer will recognize the digits you wrote on a beautiful web-interface
Handwritten text to synths!
Implementation of a digit recognition using my Neural Network with the MNIST data set.
A machine learning project that uses a neural network to recognise human digits.
A sample web app in node.js for hosting a CNTK model for hand written digits recognition
✨ Draw handwritten digits and get instant AI predictions! Neural network implemented in pure Node.js. Zero dependencies
The website for Cycle GANs project @ UIUC
Draw a digit with your digit. Data61 work experience students’ project.
A Handwritten Digit Recognizer on the Web. Model trained locally on MNIST with ANN built from scratch.
Recognizes Numbers with Deep Learning (Tensorflow.js)
在线演示mnist数据集训练的结果，使用深度和传统两种方法。Online demonstration of the results of mnist dataset training, using both depth and traditional methods.
Web based Neural network from scratch
Working Links for:--project1: https://quilled-zinc-carp.glitch.me --project2:https://oil-zesty-drip.glitch.me
🔥 Everyone is Trainer on this project. Deep Learning with TF.js & MNIST Dataset.
Neural network digit recognition (MNIST dataset) with NodeJS using error backpropagation.
A handwriting number recognizer implementation using CNN MNIST on tensorflow-js.
This repository presents a demonstration of deploying a TensorFlow model on a React.js web application using TensorFlow.js. The model employed is for handwritten digit recognition, trained using TensorFlow's Keras API in Python.
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