Azure AI Fundamentals: Computer Vision

Azure 2020
  • 15 Videos | 1h 29m 1s
  • Includes Assessment
  • Earns a Badge
Computer vision is the machine learning capability to allow computers to "see" similar to how a person can see, and be able to identify, distinguish, and interpret objects, people, and even text from images or video. In this course you will learn about the Azure ML Computer Vision service, Computer Vision Models, and how it can be trained and used to detect and classify objects in images and videos using a Classifier model and semantic segmentation. You’ll also learn how to evaluate the results of an object detection model. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe how computer vision works and how it can be used to solve real world problems
    recognize the features and capabilities of the Azure Computer Vision services
    identify the different Computer Vision models available for doing image classification, object detection, and image analysis
    describe how Computer Vision identifies real world items and objects
    use the Computer Vision service to analyze images
    use studio to describe and tag images used for training a classification model
    training a classifier to classify items in an image
  • evaluate the results of the classifier model
    deploy and test the prediction capabilities of the Model
    train a model to detect objects in an image
    evaluate the results of an object detection model
    deploy and test the model as a service
    describe the purpose and uses of semantic segmentation
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 23s
    UP NEXT
  • Playable
    2. 
    Computer Vision
    4m 59s
  • Locked
    3. 
    Azure Computer Vision Services
    4m 12s
  • Locked
    4. 
    Computer Vision Models
    6m 13s
  • Locked
    5. 
    Classify and Detect Objects
    5m 18s
  • Locked
    6. 
    Analyzing Images Using Computer Vision Service
    10m 31s
  • Locked
    7. 
    Describing and Tagging Images
    6m 59s
  • Locked
    8. 
    Training a Classifier Model
    4m 30s
  • Locked
    9. 
    Evaluating a Classifier Model
    5m 25s
  • Locked
    10. 
    Testing and Using a Model for Prediction
    7m 17s
  • Locked
    11. 
    Training an Object Detection Model
    7m 50s
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    12. 
    Evaluating an Object Detection Model
    4m 43s
  • Locked
    13. 
    Using the Model as a Service
    7m 27s
  • Locked
    14. 
    Semantic Segmentation
    4m 49s
  • Locked
    15. 
    Course Summary
    54s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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