Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Jay Smith

Jay Smith
Cloud Customer Engineer, Google

Website

Jason “Jay” Smith is a Cloud customer engineer at Google. He spends his day helping enterprises find ways to expand their workload capabilities on Google Cloud. He’s on the Kubeflow go-to-market team and provides code contributions to help people build an ecosystem for their machine learning operations. His passions include big data, ML, and helping organizations find a way to collect, store, and analyze information.

Sessions

1:30pm–5:00pm Tuesday, 09/11/2018
From training to serving: Deploying TensorFlow models with Kubernetes
Location: 1E 09 Level: Intermediate
Secondary topics:  Model lifecycle management
Brian Foo (Google), Holden Karau (Independent), Jay Smith (Google)
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TensorFlow and Keras are popular libraries for training deep models due to hardware accelerator support. Brian Foo, Jay Smith, and Holden Karau explain how to bring deep learning models from training to serving in a cloud production environment. You'll learn how to unit-test, export, package, deploy, optimize, serve, monitor, and test models using Docker and TensorFlow Serving in Kubernetes. Read more.