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HDS-LEE Course on Hyperparameter Optimization

Debus, Charlotte and Rüttgers, Alexander (2020) HDS-LEE Course on Hyperparameter Optimization. In: HDS-LEE Hyperparameter Optimization Course. HDS-LEE Hyperparameter Optimization Course, 13. Nov. 2020, virtuell.

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Part I: Theory - Basics of Hyperparameter Optimization - Exhausive Searches - Surrogate-based Optimization, Sequential Model-based Optimization and Bayesian Inference - Evolutionary Strategies Part II: Hands-on programming session "Hyperparameter Optimization for Improving Neural Networks" - Manual hyperparameter optimization of a Keras regression model - Machine-assisted optimization of the Keras model using Talos - Good practice guidelines for hyperparameter tuning.

Item URL in elib:https://elib.dlr.de/139402/
Document Type:Conference or Workshop Item (Speech)
Title:HDS-LEE Course on Hyperparameter Optimization
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Debus, CharlotteCharlotte.Debus (at) dlr.deUNSPECIFIED
Rüttgers, AlexanderAlexander.Ruettgers (at) dlr.dehttps://orcid.org/0000-0001-6347-9272
Journal or Publication Title:HDS-LEE Hyperparameter Optimization Course
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:neural network, machine learning, hyperparameter optimization
Event Title:HDS-LEE Hyperparameter Optimization Course
Event Location:virtuell
Event Type:Workshop
Event Dates:13. Nov. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben SISTEC (old)
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Institute for Software Technology
Deposited By: Rüttgers, Dr. Alexander
Deposited On:14 Dec 2020 09:17
Last Modified:17 Dec 2020 10:14

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