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.).
Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
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Overview
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
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