Distributed Multi-worker TensorFlow Training on Kubernetes

Offered By: Google via Google Cloud Skills Boost

Tags

Google Kubernetes Engine (GKE) Courses Machine Learning Courses TensorFlow Courses Kubernetes Courses Cloud Storage Courses Distributed Training Courses Kubeflow Courses

Course Description

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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