Vanilla neural network implemented in all major languages

A simple JavaScript neural network framework.

A deep learning model to classify the Arabic letters and digits easily.

Neural network library written in C and Javascript

A collection of some cool deep learning projects in python

code recognition persian handwritten

A Neural Network implemented from scratch as per http://neuralnetworksanddeeplearning.com/ in Rust. This is then trained on MNIST. This is also used in Rust-NN-Web project to compile to WASM and recognize digits.

Super Resolution's the images by 3x using CNN

This program uses ML to recognize a handwritten number written anywhere on a blank paper with preferable black ink. Please make sure that the image is of apt resolution.

Recognize Handwritten Digits(persian/english) with Neural Networks

This uses the Rust-NN, compiled to WASM, to recognize digits on frontend, without sending the data to backend.

Building a deep learning model for recognizing handwritten numbers.

No description provided.

recognize mouse-written numbers using KNN, Neural Network, and Convolutional Neural Network models

I have used a Multi-Layer Perceptron (MLP) neural network to classify handwritten Persian digits dataset. I have plotted the error curve during the training phase. It has been explained what maximum accuracy is achieved. Additionally, I have examined the accuracy of recognizing different digits.

Neural network that reads handwritten numbers.

PyTorch-MNIST-digit-recognition-model

Program in Python to solve sudoku puzzles from images, using TensorFlow (Keras) and Backtracking Algorithms.

A collection of open-source, educational MVPs for learning and development. Explore hands-on examples in AI, machine learning, web development, IoT, and more. Designed for students, developers, and educators, this repository encourages experimentation and practical learning. Contributions are welcome!

A small example using WPF and ML.Net for training and recognize handwritten numbers using a stylus/pen.

This repository contains a notebook to take you through step by step guide on recognizing handwritten digits using a Multi-Layer-Perceptron(MLP)

No description provided.

Capable of recognizing handwritten digits

Classifying handwritten digits (MNIST) using multi-layer perceptron in PyTorch.

تشخیص ارقام فارسی با یادگیری ماشین

A tutorial which helped me in order to use the model of recognizing handwritten digits with the accuracy increasing each time.

After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.

The following repository contains all the code which was used by us for our ITSP project called 'Scribble' at IIT Bombay