Just another BP simulation.

This is v1.2 of the Image Recognition Model for MNIST Dataset

Multi-Class Classification with Logistic Regression and Neural Networks

A Matlab implementation of handwritten digit recognition using the MNIST dataset.

Code samples for Handwritten digit classification using pixel, dissimilarity and digit's unique features

The repository implements the a simple Convolutional Neural Network (CNN) from scratch for image classification. I experimented with it on MNIST digits and COIL object dataset.

Recognizing hand-written digits with an accuracy of 97.52%

Hand-written digit recognition on MNIST dataset

Matlab Project for MNIST handwritten digit recognition. Accuracy = 99.88%

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