Exploring Neural Network Architectures with Automated Machine Learning Approaches

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Deutsch

Notes: Wuppertal, Bergische Universität Wuppertal, Dissertation, 2023

Keyword: Neuronales Netz
Maschinelles Lernen
Deep learning
Künstliche Intelligenz

Event: Veröffentlichung

(where): Wuppertal

(who): Universitätsbibliothek

(when): 2023

Creator: Burghoff, Julian

URN: urn:nbn:de:hbz:468-2-1368

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:53 PM CET

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Burghoff, Julian
Universitätsbibliothek

Time of origin

2023

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Exploring Neural Network Architectures with Automated Machine Learning Approaches

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Other Objects (12)

Improving the automated search of neural network architectures

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Algorithms and architectures for machine learning based on regularized neural netwoks and support vector approaches

Spectral signatures of fault tolerant neural architectures

Natural language acquisition in recurrent neural architectures

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Automated query interface for hybrid relational architectures

Automated performance regression detection in microservice architectures

Algorithms and architectures for machine learning based on regularized neural netwoks and support vector approaches

Spectral signatures of fault tolerant neural architectures

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Towards efficient convolutional neural architecture design : exploring the properties of neural architectures using spectral decomposition and logistic regression probes

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