Sökning: "Kai Jeggle"

Hittade 1 uppsats innehållade orden Kai Jeggle.

  1. 1. Scalable Hyperparameter Optimization: Combining Asynchronous Bayesian Optimization With Efficient Budget Allocation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Kai Jeggle; [2020]
    Nyckelord :;

    Sammanfattning : Automated hyperparameter tuning has become an integral part in the optimization of machine learning (ML) pipelines. Sequential model based optimization algorithms, such as bayesian optimization (BO), have been proven to be sample efficient with strong final performance. LÄS MER