Digit recognition with Convolutional Neural Networks in WebGL
🔢 Computer will recognize the digits you wrote on a beautiful web-interface
Recognize Digits using Deep Neural Networks in Google Chrome live!
A simple web application for blazing-fast digit recognition
Web interface to a Convolutional Neural Network (CNN) for classifying handwritten digits
Training and web visualization of digit recognition feedforward neural network using brain.js and three.js
12-function calculator with handwritten digit recognition for the Fitbit Versa Family
Digit Recognizer with Keras
ASL Education System implemented through the use of Leap Motion Device
Interactive web-based tool to visualize and explore the LeNet neural network architecture. Built with JavaScript, HTML, and Python to provide real-time insights into layer operations, feature maps, and data flow through the network. Perfect for learning deep learning concepts and understanding how convolutional neural networks work.
Une application web interactive pour dessiner des chiffres et obtenir des prédictions en temps réel grâce à un modèle de réseau de neurones entraîné sur MNIST. Développée avec Next.js, TinyGrad, WebGPU et conçu pour être rapide.
AI-powered Handwritten Digit Recognition System using TensorFlow, CNN, OpenCV, and Flask.
A neural network that can recognize handwritten digits
A site demonstrating digit recognition with use of neural networks.
Este proyecto implementa una red neuronal convolucional en TensorFlow.js para reconocer dígitos escritos a mano del conjunto de datos MNIST.
Draw digits and watch a neural network classify them in real-time, visualizing neurons, weights, and activations. Vanilla JS, no dependencies.
To associate your repository with the digit-recognition topic, visit your repo's landing page and select "manage topics."