Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

About this course

This is a self-paced lab that takes place in the Google Cloud console. 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.).

What you will learn

• Prepare a GKE cluster with the Istio add-on for TensorFlow Serving
• Create a canary release of a TensorFlow model deployment
• Configure various traffic splitting strategies