Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh
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.).
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 2 hours
- Course by Google Cloud
-
Offered by
About
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.).Modules
Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Istio
-
1
ExternalTool
1
External Tool
- Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Istio
Auto Summary
Explore the hands-on lab "Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh" offered by Coursera. Tailored for IT and Computer Science professionals, this 120-minute, self-paced course guides you through training custom image recognition models with AutoML Vision on Google Cloud. Ideal for learners with limited ML expertise, the lab focuses on identifying various cloud types. Available through Starter and Professional subscriptions, this course is perfect for those seeking practical, advanced skills in model deployment and cloud technology.
Google Cloud Training