Description: In this webinar, we will give an overview of TensorFlow Extended – Google’s solution for deploying production-level machine learning pipelines. We will first give an overview of what TFX is, and why an individual or organization may want to use it. We will then step through the individual components of the pipeline one by one, which includes: data ingestion, data validation, feature engineering, model training, model validation, model pushing, and model serving. Finally, we will discuss how to install TFX on the HPCs, and also give a demo of an end-to-end use case on a custom dataset.

Presenter(s): Dr. Wes Brewer, GDIT / PET
Location: Webcast
Date & Time: January 19, 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, 19 January 2022.  Other requests for this document shall be referred to the High Performance Computing Modernization Office, 3909 Halls Ferry Road, Vicksburg, MS 39180.