Azure AI Fundamentals: Computer Vision
Azure 2020
| Beginner
- 15 videos | 1h 22m 31s
- 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
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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
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1m 23s
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4m 59sDiscover how to describe how computer vision works and how it can be used to solve real world problems. FREE ACCESS
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3. Azure Computer Vision Services4m 12sIn this video, you will learn about the features and capabilities of the Azure Computer Vision services. FREE ACCESS
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4. Computer Vision Models6m 13sAfter completing this video, you will be able to identify the different Computer Vision models available for doing image classification, object detection, and image analysis. FREE ACCESS
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5. Classify and Detect Objects5m 18sIn this video, find out how Computer Vision identifies real world items and objects. FREE ACCESS
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6. Analyzing Images Using Computer Vision Service10m 31sUpon completion of this video, you will be able to use the Computer Vision service to analyze images. FREE ACCESS
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7. Describing and Tagging Images6m 59sDuring this video, you will learn how to use studio to describe and tag images used for training a classification model. FREE ACCESS
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8. Training a Classifier Model4m 30sFind out how to train a classifier to classify items in an image. FREE ACCESS
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9. Evaluating a Classifier Model5m 25sLearn how to evaluate the results of the classifier model. FREE ACCESS
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10. Testing and Using a Model for Prediction7m 17sIn this video, you will learn how to deploy and test the prediction capabilities of the Model. FREE ACCESS
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11. Training an Object Detection Model7m 50sDuring this video, you will discover how to train a model to detect objects in an image. FREE ACCESS
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12. Evaluating an Object Detection Model4m 43sIn this video, you will learn how to evaluate the results of an object detection model. FREE ACCESS
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13. Using the Model as a Service7m 27sDiscover how to deploy and test the model as a service. FREE ACCESS
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14. Semantic Segmentation4m 49sIn this video, you will discover the purpose and uses of semantic segmentation. FREE ACCESS
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15. Course Summary54sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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