Description: KerasTuner is a library that assists in choosing the optimal set of hyperparameters for TensorFlow programs. It is basically a user-friendly interface for three types of hyperparameter search strategies: Random Search, Bayesian Optimization, and Hyperband. This webinar will examine what hyperparameters and hyperparameter tuning are. We will describe KerasTuner and how it works, outline the steps in using KerasTuner and show code examples and cover adjusting KerasTuner to meet specific needs. We will cover the three types of hyperparameter search strategies and reasons for using one approach over another.

Presenter(s): Sheila McGee-Rosser, GDIT/PET
Location: Webcast
Date & Time: April 21, 2022, 2:00p - 3:30p ET

Distribution Statement D. Distribution authorized to the Department of Defense and U.S. DoD contractors only, Administrative or Operational Use, 21 April.  Other requests for this document shall be referred to the High Performance Computing Modernization Office, 3909 Halls Ferry Road, Vicksburg, MS 39180.