Taylor Robie
Software Engineer, Google

Taylor Robie is software engineer at Google, where he’s a member of the TensorFlow high-level APIs team focusing on performance with a particular emphasis on out-of-the-box performance of Keras. Previously, he was a maintainer of the TensorFlow official models repository and optimized several of the Google MLPerf submissions.

Sessions

2:30pm–3:10pm Wednesday, October 30, 2019

Location: Great American Ballroom J/K

Performant, scalable models in TensorFlow 2.0 with tf.data, tf.function, and tf.distribute

Core technologies

Taylor Robie (Google), Priya Gupta (Google)

Average rating:

(4.25, 4 ratings)

Join Taylor Robie and Priya Gupta to learn how you can use tf.distribute to scale your machine learning model on a variety of hardware platforms ranging from commercial cloud platforms to dedicated hardware. You'll learn tools and tips to get the best scaling for your training in TensorFlow. Read more.