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Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

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.).

Labs

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Rating
Level
Clock icon Intermediate
Duration
Clock icon 1h 30m
Published
Clock icon Mar 21, 2024

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Table of Contents

  1. Challenge

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

Build, innovate, and scale with Google Cloud Platform.

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.