Identify Damaged Car Parts with Vertex AutoML Vision

在此項目中,您將:
1 hour 30 minutes
中級
無需下載
可分享的證書
英語(English)
僅限桌面

This is a self-paced lab that takes place in the Google Cloud console. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI. AutoML Vision helps anyone with limited Machine Learning (ML) expertise train high quality image classification models. In this hands-on lab, you will learn how to produce a custom ML model that automatically recognizes damaged car parts. Once you’ve produced your ML model, it’ll be immediately available for use. You can use the UI or the REST API to start generating predictions directly from the Google Cloud Console.

您要培養的技能

  • Machine Learning

  • Google Cloud Platform

  • Cloud API

  • Vertex AI

項目工作原理

在交互式實踐環境中學習新工具或新技能

您將能夠訪問云工作空間中的軟件和工具 - 無需下載

提供方

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Google 云端平台

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