The invention relates to a method for converting a first neural network with a first architecture into a second neural network with a second architecture for use in a vehicle controller in order to obtain the knowledge of the first neural network and transfer same to the second neural network. In a first step of the method, a conversion (701) of at least one layer of the first neural network into at least one layer of the second neural network is carried out. In a second step, a random initialization (702) of the at least one converted layer is carried out in the architecture of the second neural network. In a third step, a training process (703) of the at least one converted layer is carried out in the second neural network. In a fourth step, a fine-tuning process (704) of the non-converted layer is carried out in the second neural network or in the entire second neural network. The conversion of the first neural network into the second neural network is carried out in multiple cycles or iterations, wherein for each cycle, the conversion (701), random initialization (702), training (703), and simultaneous fine-tuning (704) steps are carried out.


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    Titel :

    Wissenstransfer zwischen verschiedenen Deep-Learning Architekturen


    Beteiligte:

    Erscheinungsdatum :

    24.12.2019


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion



    WISSENSTRANSFER ZWISCHEN VERSCHIEDENEN DEEP-LEARNING ARCHITEKTUREN

    KARG MICHELLE / SCHARFENBERGER CHRISTIAN | Europäisches Patentamt | 2019

    Freier Zugriff

    Brucke zwischen Architekturen

    British Library Online Contents | 2012


    Wissenstransfer und Technologietransfer zwischen Luftfahrt und Automobilindustrie

    Mueller,U.J. / Fischer,H. / ESG Elektroniksystem u.Logistik,Fuerstenfeldbrueck,DE | Kraftfahrwesen | 2011


    Spagat zwischen proprietaeren und Standard Architekturen

    Riemenschneider,F. / Databeans,Reno,US | Kraftfahrwesen | 2010


    Wirksamer Wissenstransfer

    Hessler, Andrea | IuD Bahn | 1997