GitHub

Jean-BaptisteAC/Image-Classification

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 ...
GitHub

Deep One-Class Classification

You find the PDF of the Deep One-Class Classification ICML 2018 paper at http://proceedings.mlr.press/v80/ruff18a.html. If you use our work, please also cite the ICML ...
IEEE

Hybrid Quantum Network for classification of finance and MNIST data

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 ...
IEEE

Performance Benchmarking of Clustering Methods using MNIST Data

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, ...