Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Google

Distributed Multi-worker TensorFlow Training on Kubernetes

Google via Google Skills

Go to class Write review

No Longer Offered

DataCamp Ad

Power BI Fundamentals - Create visualizations and dashboards from scratch

Learn More → Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
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

Tags

Reviews

Start your review of Distributed Multi-worker TensorFlow Training on Kubernetes

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.