October 28–31, 2019

Schedule: TensorFlow in the enterprise sessions

Add to your personal schedule
1:30pm5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom C/D
Neelima Mukiri and Meenakshi Kaushik demonstrate how to automate hyperparameter tuning for a given dataset using Katib and Kubeflow. Katib can be easily run on a laptop or in a distributed production deployment, and Katib jobs and configuration can be easily ported to any Kubernetes cluster. Read more.
Add to your personal schedule
1:30pm5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom G
Jason Mancuso (Dropout Labs), Yann Dupis (Dropout Labs)
Average rating: ****.
(4.00, 1 rating)
Jason Mancuso and Yann Dupis demonstrate how to build and deploy privacy-preserving machine learning models using TF Encrypted, PySyft-TensorFlow, and the TensorFlow ecosystem. Read more.
Add to your personal schedule
4:10pm4:50pm Thursday, October 31, 2019
Location: Grand Ballroom E
Keqiu Hu (LinkedIn), Jonathan Hung (LinkedIn), Abin Shahab (Linkedin)
Keqiu Hu, Jonathan Hung, and Abin Shahab explore the challenges LinkedIn encountered and resolved to scale TensorFlow. Read more.

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

sponsorships@oreilly.com

For information on exhibiting or sponsoring a conference

pr@oreilly.com

For media/analyst press inquires