Computer Vision and Image Analysis

Computer Vision and Image Analysis

LaaS bundle

Microsoft DEV290x-LAAS

From For free

To USD 198.00

A deep dive into Computer Vision, Image Analysis and Semantic Segmentation using the Microsoft Cognitive Toolkit.

Computer Vision is the art of distilling actionable information from images.

In this hands-on course, we’ll learn about Image Analysis techniques using OpenCV and the Microsoft Cognitive Toolkit to segment images into meaningful parts. We’ll explore the evolution of Image Analysis, from classical to Deep-Learning techniques.

We’ll use Transfer Learning and Microsoft ResNet to train a model to perform Semantic Segmentation.

Course Prerequisites

What you will learn

  • Apply classical Image Analysis techniques, such as Edge Detection, Watershed and Distance Transformation as well as K-means Clustering to segment a basic dataset.
  • Implement classical Image Analysis algorithms using the OpenCV library.
  • Compare classical and Deep-Learning object classification techniques.
  • Apply Microsoft ResNet, a deep Convolutional Neural Network (CNN) to object classification using the Microsoft Cognitive Toolkit.
  • Apply Transfer Learning to augment ResNet18 for a Fully Convolutional Network (FCN) for Semantic Segmentation.
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E-Learning

Official Microsoft Course

Computer Vision and Image Analysis

Computer Vision and Image Analysis

Microsoft DEV290x
Microsoft
Open edX
90 days

Official Microsoft Certificate

Microsoft Certificate of Completion

Microsoft Certificate of Completion

Microsoft A85-04383
USD 99.00
Microsoft

Original Microsoft Certificate of Completion


Get your Original Microsoft Certificate of Completion that certifies the successful passing of a Microsoft Massive Open Online Course (MOOC).

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Computer Vision and Image Analysis

LaaS bundle Microsoft DEV290x-LAAS

For free