AutoML for Computer Vision with Microsoft Custom Vision

4.7
112 個評分
提供方
Coursera Project Network
4,145 人已註冊
在此指導項目中,您將:

Train an image classifier with Microsoft Custom Vision

Create an HTTP web server with Python

Classify images in web browsers with TensorFlow.js

Clock1.5 hours
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

Welcome to this hands-on project on using Microsoft’s Custom Vision service for automated machine learning or AutoML as it’s popularly known. In this project, you are going to use Microsoft’s drag and drop tool to train your computer to recognize images of dogs and cats. We are going to do all of this without writing a single line of code! To take this guided-project, you do not need a background in computer science, machine learning or coding. The only prerequisite for this project is that you have a Microsoft Azure account. If you don’t already have one, you will have to sign up for it. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

  • Deep Learning
  • cloud-computing
  • automl
  • machine-learning
  • microsoft-azure

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Introduction and Demo

  2. Create a Project on Custom Vision

  3. Upload and Tag Images

  4. Train the Model

  5. Classify Images from your Computer and the Web

  6. Image Classification Web Application Template

  7. Running the Web App

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

授課教師

審閱

來自AUTOML FOR COMPUTER VISION WITH MICROSOFT CUSTOM VISION的熱門評論

查看所有評論

常見問題

常見問題

還有其他問題嗎?請訪問 學生幫助中心