Label noise-robust methods for supervised learning with deep neural networks

Download

DemisaiRigon_2020.pdf (679.2 KB)

Date

2020

Authors

Type

Examensarbete för masterexamen

Programme

Engineering mathematics and computational science (MPENM), MSc

Model builders

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Keywords

Citation

Architect

Location

Type of building

Build Year

Model type

Scale

Material / technology

Index

URI

https://hdl.handle.net/20.500.12380/302049

Collections

Master Theses

Endorsement

Review

Supplemented By

Referenced By