November 27, 2019

156 words 1 min read

Deploying deep learning with TensorFlow

Deploying deep learning with TensorFlow

TensorFlow and Keras are popular libraries for machine learning because of their support for deep learning and GPU deployment. Join Ron Bodkin and Brian Foo to learn how to execute these libraries in production with vision and recommendation models and how to export, package, deploy, optimize, serve, monitor, and test models using Docker and TensorFlow Serving in Kubernetes.
Talk Title Deploying deep learning with TensorFlow
Speakers Ron Bodkin (Google), Brian Foo (Google)
Conference Strata Data Conference
Conf Tag Big Data Expo
Location San Jose, California
Date March 6-8, 2018
URL Talk Page
Slides Talk Slides
Video

TensorFlow and Keras are popular libraries for machine learning because of their support for deep learning and GPU deployment. Join Ron Bodkin and Brian Foo to learn how to execute these libraries in production with vision and recommendation models and how to export, package, deploy, optimize, serve, monitor, and test models using Docker and TensorFlow Serving in Kubernetes. Topics include:

keras gpu tensorflow deep learning machine learning docker kubernetes
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