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

13:30–17:00 Tuesday, 15 October 2019

Location: Blenheim Room - Palace Suite

TFX: Production ML pipelines with TensorFlow

Implementing AI

Secondary topics: Deep Learning tools, Machine Learning tools

Robert Crowe (Google), Pedram Pejman (Google)

Average rating:

(2.90, 10 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 and Pedram Pejman explore Google's TFX, an open source version of the tools and libraries that Google uses internally, made using its years of experience in developing production ML pipelines. Read more.