recognizing-handwritten-digits

dlidstrom/NeuralNetworkInAllLangs

Vanilla neural network implemented in all major languages

AmrHendy/Arabic-Handwritten-Images-Recognition

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

yui0/catseye

Neural network library written in C and Javascript

MainakRepositor/Deep-Learning-Python

A collection of some cool deep learning projects in python

EPSOFT/Simple-Neural-Network-for-Recognizing-Farsi-Handwritten-Digits

code recognition persian handwritten

YJDoc2/Rust-NN

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.

aditya9211/Super-Resolution-CNN

Super Resolution's the images by 3x using CNN

ryz1g/Handwritten_Numbers_recognition

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.

asaldelkhosh/MNIST-Classification

Building a deep learning model for recognizing handwritten numbers.

mhsharifi96/Hand-Digits-Recognition-

Recognize Handwritten Digits(persian/english) with Neural Networks

YJDoc2/Rust-NN-Web

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

L3odr0id/Neural-network-for-numbers

Neural network that reads handwritten numbers.

morzv/Digit-Recognizer-via-Metal

Pythonista7/Using-Scikitlearn-MLP-on-MNIST-

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

ChrisZeThird/Image-Recognition-without-Neural-Network

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.

Davidportlouis/handwritten_digits_classifier

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

hghorbani77/handwritten-persian-digits-recognition

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.

julianprieto21/Sudoku-Solver

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

methi1999/scribble

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

tehmas/handwritten-digit-recognizer

Capable of recognizing handwritten digits

theo-xiao-sg/handwriting_recognition

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

Yoshiki1996/Deep-Neural-Networks-for-Handwritten-Digit-and-Face-Recognition

Abhay2412/RecognizingHandwrittenDigits

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

Ilia-Abolhasani/handwritten-english-alphabet-recognition

Using ML to create a model which would predict/recognize the english alphabet from our own dataset.

lolochristen/NumberRecognitionML

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