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Handwritten Digit Recognition using Machine Learning and Deep Learning

:pencil2: :cloud: The easy way to integrate mathematical expressions handwriting recognition in your web app.

A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and uses the neural network to predict what digits they are.

Handwritten Digit Recognition using OpenCV, sklearn and Python

(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”

Using OpenCV in python to recognize digits in a scanned page of handwritten digits.

The MNIST database of handwritten digits is one of the most popular image recognition datasets. It contains 60k examples for training and 10k examples for testing.

Handwritten digit recognition with MNIST & Keras

Convert hand written mathematical expressions and formula to Latext using Machine Learning

Handwritten digit recognition using neural network trained on 60000 images from MNIST dataset