MNIST Database of Handwritten Digits

MNIST Database of Handwritten Digits for MATLAB

Trains a Neural Network to read handwritten digits (OCR). Uses synaptic for Node.js, socket.io and MongoDB

Udacity - Machine Learning Engineer Nanodegree Project - A Deep Neural Network to recognise handwritten digits

A simple neural network for classifying handwritten digits

A guide for preprocessing handwritten digits using R

Deep Learning using the platform H2O and R

Handwritten digits, a bit like the MNIST dataset.

Get and solve the handwriting dataset from MNIST

This is an example for how handwritten digits can be learnt with random forests

Achieved an accuracy of 90% in Handwritten Digit Recognition by implementing K-Nearest Neighbor(K-NN) algorithm on MNIST dataset (a database of several handwritten digits ) to recognize any handwritten digit.

Handwritten Number Recognition using CNN and Character Segmentation

Neural Network to Detect hand written digits using python

a OCR for digits using MNIST dataset

Handwritten Digits Recognition

Devnagari Handwritten Characters Dataset (DHCD)

Implementation of a Convolutional Neural Network for Handwritten Digit Recognition

Famous MNIST dataset is used to build a simple model which can predict handwritten digits