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Rädle, Klaus [Author]

Neuronale Netze : eine Einführung mit Programmbeispielen - [1. Aufl.]

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Berlin: Pro Business, 2010
Schwarz, Markus [Author]

Ein massiv paralleles Rechnersystem für die Emulation künstlicher neuronaler Netze und genetischer Algorithmen mit Anwendungen in der Bildmustererkennung - [Als Ms. gedr.]

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Düsseldorf: VDI-Verl., 1993

Published in: Verein Deutscher Ingenieure: Fortschritt-Berichte VDI ; 236
Alex, Björn [Author]

Künstliche neuronale Netze in Management-Informationssystemen : Grundlagen und Einsatzmöglichkeiten

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Wiesbaden: Gabler, 1998

Published in: Betriebswirtschaftliche Forschung zur Unternehmensführung ; 32
Linden, Alexander [Author]

SESAME : ein objekt- und datenflussorientierter Simulator für Modelle der Neuroinformatik und angrenzender Gebiete

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1994
Intelligente Software-Technologien : ist

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München: Oldenbourg, 1991-1992 / 1.1991,2 - 2.1992
Steuer, Dunja [Author]

Nichtlineare Analyse und Klassifikation von instationären Biosignalen mit Anwendung in der Kognitionsforschung

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2001
Hellmich, Rainer [Author]

Einführung in intelligente Softwaretechniken

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München [i.e. Haar] [u.a.]: Prentice Hall, 1997
Schaffnit, Jochen [Author]

Simulation und Control Prototyping zur Entwicklung von Steuergerätefunktionen für aufgeladene Nutzfahrzeug-Dieselmotoren - [Als Ms. gedr.]

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Düsseldorf: VDI-Verl., 2002

Published in: Verein Deutscher Ingenieure: Fortschritt-Berichte VDI ; 49700
Kirk, David [Author]; Hwu, Wen-mei W. [Author] ; NVIDIA Corporation Santa Clara, Calif

Programming massively parallel processors : a hands-on approach

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Amsterdam; Heidelberg [u.a.]: Elsevier, Morgan Kaufmann, 2010
Bertsekas, Dimitri P. [Author]; Tsitsiklis, John N. [Author]

Neuro-dynamic programming

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Belmont, Mass.: Athena Scientific, 1996

Published in: Optimization and computation series ; 3
Kirk, David [Author]; Hwu, Wen-mei W. [Author]

Programming massively parallel processors : a hands-on approach - [2. ed.]

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Amsterdam [u.a.]: Elsevier, Morgan Kaufmann, 2013
Köhl, Stefanie [Other]; Lenk, Klaus [Other]; Löbel, Stephan [Other]; Schuppan, Tino [Other]; Viehstädt, Anna-Katharina [Other]

Stein-Hardenberg 2.0 : Architektur einer vernetzten Verwaltung mit E-Government

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Berlin: Ed. Sigma, 2014

Published in: E-government und die Erneuerung des öffentlichen Sektors ; 15
Kopec, David [Author] ; Kersken, Sascha [Translator]

Algorithmen in Python : 32 Klassiker vom Damenproblem bis zu Neuronalen Netzen - [1. Auflage]

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Bonn: Rheinwerk Computing, 2020

Published in: Rheinwerk Computing
De Candido, Oliver Thomas [Author] ; Utschick, Wolfgang [Degree supervisor]; Hand, Paul E. [Other]; Botsch, Michael [Other]; Utschick, Wolfgang [Other]

Validating Machine Learning-based Highly Automated Driving Functions by Diversity

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https://d-nb.info/1312431172/34

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München: Universitätsbibliothek der TU München, 2023
Eipert, Peter [Author]

Integration neuronaler Modalitäten für Konnektomanalysen und populationsbasierte Simulationen

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http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2015-0179-0&pdf

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2015
Köpp, Cornelius [Author]

Softwareprototypen als Beitrag zur Entscheidungsunterstützung in Energiewirtschaft, Hochschulinstituten und Prognoseanwendungen

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https://d-nb.info/1131189884/34

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Hannover: Technische Informationsbibliothek (TIB), 2017
Hack, Sebastian [Author]; Membarth, Richard [Author]; Leißa, Roland [Author]; Müller, André [Author]; Schmidt, Bertil [Author] ; Universität des Saarlandes Naturwissenschaftlich-Technische Fakultät 1, Johannes Gutenberg-Universität Mainz Institut für Informatik, Deutsches Forschungszentrum für Künstliche Intelligenz

MetaDL - AI Lab for metaprogramming in Deep Learning : Schlussbericht 01.10.2019-31.03.2022

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https://edocs.tib.eu/files/e01fb23/1868578232.pdf

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[Saarbrücken]: [Universität des Saarlandes], [2022?]
Rashid, Tariq [Author] ; Langenau, Frank [Translator]

GANs mit PyTorch selbst programmieren : ein verständlicher Einstieg in Generative Adversarial Networks - [1. Auflage]

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Heidelberg: O'Reilly, 2020
Mäder, Patrick [Author]; Wäldchen, Jana [Author] ; Technische Universität Ilmenau Fachgebiet Softwaretechnik für Sicherheitskritische Systeme

Flora Incognita - interaktive, halbautomatische Artenbestimmung mit mobilen Endgeräten und vollautomatischer Kartierung : Bundesprogramm Biologische Vielfalt : Projektlaufzeit: 1. August 2014-31. Juli 2020 = Flora Incognita - interactive, semi-automatic species identification with mobile devices

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Ilmenau: Technische Universität Ilmenau, [2020?]
Singh, Pramod [Author]; Manure, Avinash [Author]

Learn TensorFlow 2.0 : implement machine learning and deep learning models with Python

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Berkeley, CA: Apress, [2020]

Published in: Springer eBook Collection

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