Digit recognition using deep learning (convolutional neural networks)

Deep learning principle practice, based on MNIST hadwritten digit recognition

Digit Recognition using backpropagation algorithm on Artificial Neural Network with MATLAB. Dataset used from MNSIT.

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.

https://www.coursera.org/account/accomplishments/records/XRTLLUWLMJ2T

Hand-written digit recognition on MNIST dataset

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

Includes the work done within the course Image Analysis, which covers the following topics: SIFT Descriptor, Learning and Convolutional Neural Networks, Image Registration, Triangulation and Digit Recognition in Scale Space.

A demonstration of Neural Network and Support Vector Machine based classifier for digit recognition on the MNIST dataset.

Latin Handwritten Digit Recognition System using MLP

Persian Handwritten Digit Recognition using Particle Swarm Optimization-based K-Means Clustering and Probabilistic Neural Network

Convolutional Neural Network (CNN) for building a numeric character recognition system trained on the MNIST dataset. (Written in Matlab) Spring 2021

Implemented one-vs-all logistic regression to recognize hand-written digits

Four utterances of 10 digits sampled at 8 kHz from each of 4 male speakers are provided. A template based digit recognition is developed with the help of k-means algorithm.

IN4085 : Pattern Recognition - Final Assignment

Machine Learning using Matlab

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

Automatic Classification of handwritten digit images via SVD decomposition