Hand tuning convolutional neural networks (CNN) for performance optimization can be tedious. A novel approach using a genetic algorithm to automate CNN hyper-parameter adjustment is proposed. This automated approach shows a 5% accuracy improvement over hand tuned methods and highly energy efficient networks on the Intel Movidius Compute Stick.


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    Titel :

    CNN Optimization with a Genetic Algorithm


    Beteiligte:
    Reiling, Anthony (Autor:in) / Mitchell, William (Autor:in) / Westberg, Stefan (Autor:in) / Balster, Eric (Autor:in) / Taha, Tarek (Autor:in)


    Erscheinungsdatum :

    01.07.2019


    Format / Umfang :

    878765 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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