Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

Neural nets for high accuracy multivariable nonlinear regression.

This repository encloses the programmatic part of the research into equivalence of Hebbian learning and the SVN formalism, exploring hypothesis brought forward in [On the equivalence of Hebbian learning and the SVM formalism [Nowotny, T and Huerta, R]

Temele la Metode Numerice

matlab for mnist dataset

Verification of a VAE and SegNet using NNV

A Neural Network from scratch (Extreme Learning Machine), trained on MNIST (97% accuracy).

Hand-written digit recognition on MNIST dataset

Course Assignments

This repository contains the code to reproduce all of the results in our paper: Making Learners (More) Monotone, T J Viering, A Mey, M Loog, IDA 2020.

This repository can recognize MNIST Dataset without any tool boxes. It's a CNN demo in Matlab

A Machine Learning project that uses EM and Bernoulli mixes to classify digits

Práticas de PDS

Classificador MNIST

Recognizing hand-written digits with an accuracy of 97.52%

Graph Agglomerative Clustering Library

Recognise Handwritten Digits MNIST data set using Neural Networks and Multi class Classification for Logisitc Regression

Test my MNIST data using kNN

The purpose of this project is to take handwritten digits as input, process the digits, train the neural network algorithm with the processed data, to recognize the pattern and successfully identify the test digits. The popular MNIST dataset is used for the training and testing purposes. The IDE used is MATLAB

IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learning