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Classify Images of Clouds in the Cloud with AutoML Vision

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Checkpoints

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Enable the AutoML API

Create a Cloud Storage Bucket

Create a dataset

Run the pedictions(Check the accuracy for the model)

Classify Images of Clouds in the Cloud with AutoML Vision

2시간 크레딧 7개

GSP223

Google Cloud Self-Paced Labs

Overview

AutoML Vision helps developers with limited ML expertise train high quality image recognition models. Once you upload images to the AutoML UI, you can train a model that will be immediately available on Google Cloud for generating predictions via an easy to use REST API.

In this lab you will upload images to Cloud Storage and use them to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

What you'll learn

  • Uploading a labeled dataset to Cloud Storage and connecting it to AutoML Vision with a CSV label file.

  • Training a model with AutoML Vision and evaluating its accuracy.

  • Generating predictions on your trained model.

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
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