October 28–31, 2019
Schedule: TensorFlow in the enterprise sessions
1:30pm–5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom C/D
Neelima Mukiri (Cisco),
Meenakshi Kaushik (Cisco)
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.
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1:30pm–5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom G
Jason Mancuso (Dropout Labs),
Yann Dupis (Dropout Labs)
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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.
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4:10pm–4:50pm 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.
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