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

Google

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

Google via Google Skills

Go to class Write review
Corporate Finance Institute Ad

Learn Excel and Financial Modeling the Way Finance Teams Actually Use Them

Learn More → DataCamp Ad

PowerBI Data Analyst - Create visualizations and dashboards from scratch

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

Syllabus

  • GSP777
  • Overview
  • Setup and requirements
  • Lab tasks
  • Task 1. Getting lab files
  • Task 2. Creating a GKE cluster
  • Task 3. Deploying ResNet101
  • Task 4. Creating ConfigMap
  • Task 5. Creating TensorFlow Serving deployment
  • Task 6. Exposing the deployment
  • Task 7. Configuring horizontal pod autoscaler
  • Task 8. Testing the model
  • Task 9. Installing Locust
  • Task 10. Starting a load test
  • Task 11. Monitoring the load test
  • Task 12. Stopping the load test
  • Congratulations

Tags

Reviews

Start your review of Autoscaling TensorFlow Model Deployments with TF Serving and 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.