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.).
Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh
33 already enrolled
What you'll 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
Skills you'll practice
- Category: Load Balancing
- Category: Tensorflow
- Category: Microservices
- Category: Kubernetes
Details to know
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Learn, practice, and apply job-ready skills in less than 2 hours
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- Gain hands-on experience solving real-world job tasks
About this project
How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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