Microsoft Cognitive Services for Developers: 1 Vision
Offered By: LinkedIn Learning
Course Description
Overview
Learn how to use Microsoft Cognitive Services to embed AI in your applications. This course covers the vision APIs for text, image, and facial recognition.
Syllabus
Introduction
- Welcome
- What you should know
- Using the exercise files
- Introduction
- Set up the Node.js project
- Add TypeScript debugging support
- Add helper code and demonstrate debugging
- Provision Vision API in Azure and configure project
- Write code to describe an image using the Vision API
- Run the code to describe an image using the Vision API
- Returning multiple descriptions
- Defining the analysis business object
- Writing the analyze method
- Using the analyze method to describe an image
- Tags and categories
- Analyzing colors
- Identifying line drawing and clip art vs. real pictures
- Identifying adult vs. racy content
- Generating thumbnails
- Recognizing celebrities
- Recognizing landmarks
- Set up the Node.js project
- Submit an image for handwriting or OCR
- Polling for status of submitted image
- Synchronous treatment for OCR
- Performing OCR
- Performing handwriting recognition
- Recognize faces using the Vision API
- Provision the Emotion API and update the project
- Making code changes to analyze emotions
- Recognizing emotions for multiple pictures
- Provision the Face API and update the project
- Recognizing faces: The theory
- Set up your project
- Set up your sample dataset
- Read the dataset
- Organize your code and explain what you need to do
- Create a person group
- Delete or train the person group
- Create a person and add a face
- Add detection and identification functions
- Create a person group using helper classes
- Train a person group
- Detecting and identifying a person
- Run code and delete the person group
- Next steps
Taught by
Sahil Malik
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