Robert Crowe
Data Scientist, Google

Robert Crowe is a data scientist and TensorFlow Developer Advocate at Google with a passion for helping developers quickly learn what they need to be productive. He’s used TensorFlow since the very early days and is excited about how it’s evolving quickly to become even better than it already is. Previously, Robert deployed production ML applications and led software engineering teams for large and small companies, always focusing on clean, elegant solutions to well-defined needs. In his spare time, Robert sails, surfs occasionally, and raises a family.

Sessions

9:00am–12:30pm Tuesday, October 29, 2019

Location: Grand Ballroom C/D

ML in production: Getting started with TensorFlow Extended (TFX)

Production pipelines

Robert Crowe (Google)

Average rating:

(4.00, 4 ratings)

Putting together an ML production pipeline for training, deploying, and maintaining ML and deep learning applications is much more than just training a model. Robert Crowe outlines what's involved in creating a production ML pipeline and walks you through working code. Read more.

11:00am–11:40am Thursday, October 31, 2019

Location: Great American Ballroom J/K

TFX: Production ML pipelines with TensorFlow

Core technologies

Robert Crowe (Google), Charles Chen (Google)

Average rating:

(3.50, 2 ratings)

ML development often focuses on metrics, delaying work on deployment and scaling issues. So Robert Crowe takes a deep dive into TensorFlow Extended. Read more.