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Tutorial: Introduction to Neural Networks

Debus, Charlotte (2019) Tutorial: Introduction to Neural Networks. Wissensaustausch Workshop "Machine Learning" WAW ML-4, 6.-7.Juni 2019, Köln-Porz, Deutschland.

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Abstract

This tutorial will give an introduction into neural networks and the basics of deep learning. After a short review of basic machine learning techniques (supervised learning, classification, lossfunction and optimizers), the mathematical background of neural networks will be covered, including multilayer perceptrons, gradient descent and backpropagation. These concepts will be introduced in the context of logistic regression, which itself comprises a well known machine learning modell. Practical application of neural networks will be illustrated on the well known example of hand-written number recognition.

Item URL in elib:https://elib.dlr.de/132343/
Document Type:Conference or Workshop Item (Lecture)
Title:Tutorial: Introduction to Neural Networks
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Debus, CharlotteCharlotte.Debus (at) dlr.deUNSPECIFIED
Date:June 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Tutorium, maschinelles Lernen, Neuronale Netze
Event Title:Wissensaustausch Workshop "Machine Learning" WAW ML-4
Event Location:Köln-Porz, Deutschland
Event Type:Workshop
Event Dates:6.-7.Juni 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Institut of Simulation and Software Technology
Deposited By: Debus, Charlotte
Deposited On:10 Dec 2019 13:35
Last Modified:10 Dec 2019 13:35

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