This project aims to classify images from the MNIST-number dataset using a simple Convolution Neural Network (CNN). One can understand that using only a few convolution layers can yield very good ...
This repo provides an example of how to use Pytorch to train a simple CNN model to classify handwritten digits (MNIST) as is provided on the kaggle website https ...
Abstract: In the ongoing era of noisy intermediate scaled quantum computers, one of the possible applications to search for an advantage of quantum computing is machine learning. Here we report about ...
Abstract: This study aims to evaluate the effectiveness of three algorithms in clustering handwritten digit images from the MNIST dataset. The clustering algorithms assessed in this study are K-Means, ...