Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Anthony Hsu
Staff Software Engineer, LinkedIn
Anthony Hsu is a staff software engineer on the Hadoop development team at LinkedIn, where he works on distributed TensorFlow infrastructure. Previously, he worked on Dali, LinkedIn’s dataset access layer, and Azkaban, LinkedIn’s workflow scheduler. He’s also contributed to Apache Hive and Pig.
Sessions
11:05–11:45 Wednesday, 10 October 2018
Secondary topics:
Deep Learning tools,
Platforms and infrastructure
Jonathan Hung (LinkedIn),
Keqiu Hu (LinkedIn),
Anthony Hsu (LinkedIn)
Jonathan Hung, Keqiu Hu, and Anthony Hsu offer an overview of TensorFlow on YARN (TonY), a framework to natively run TensorFlow on Hadoop. TonY enables running TensorFlow distributed training as a new type of Hadoop application. Its native Hadoop connector, together with other features, aims to run TensorFlow jobs as reliably and flexibly as other first-class objects on Hadoop.
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