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Distributed Multi-worker TensorFlow Training on Kubernetes

Google via Google Cloud Skills Boost

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Overview

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In this hands-on lab you will explore using Google Cloud Kubernetes Engine and Kubeflow TFJob to scale out TensorFlow distributed training.

Syllabus

  • GSP775
  • Overview
  • Setup and requirements
  • Lab tasks
  • Task 1. Creating a GKE cluster
  • Task 2. Deploying
  • Task 3. Creating a Cloud Storage bucket
  • Task 4. Preparing TFJob
  • Task 5. Submitting the TFJob
  • Task 6. Monitoring the TFJob
  • Congratulations

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