MNIST Database of Handwritten Digits for MATLAB

Training an artificial neural network using back-propagation on MNIST dataset

UB Computer Vision

Hand-written digit recognition on MNIST dataset

This experiment is a simple demonstration of implementing k-Nearest Neighbors classifier on MNIST data set. After loading the data set, k-Nearest Neighbors classifier, which is written as a MATLAB function, tries to read a random number, using the train data set.

Recognizing hand-written digits with an accuracy of 97.52%

A neural network implementation capable of recognize handwritten digits in images.

Digit recognition in MATLAB and python using a CNN on MNIST dataset

Handwritten digits image classification with the MNIST dataset using MultiLayer Perceptron.

Repository contains my MATLAB files for the hand-coded MNIST (w/ SGD optimizer) classification model trained for the EEL5813 - Neural Networks: Algorithms and Applications course, PROJECT02