Kubeflow and Tensorflow training and serving out trained models on Kubernetes
Abstract: In this session, we will follow through an example on how to deploy, train, and serve up a trained model all running in Kubernetes. We will go into details on what the workflow is doing under the hood to understand more of the magic that is happening. At the end of the demo, you will learn how to deploy a working Kubeflow setup, train, and serve up requests via a webpage.
Speaker: Garland Kan, DevOps engineer
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