Microsoft Professional Capstone : Artificial Intelligence

Microsoft: DAT264x Microsoft Professional Capstone : Artificial Intelligence

About this course

This course is part of the Microsoft Professional Program in Artificial Intelligence.

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.

What you'll 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.

Meet the instructors

Andrew Byrne

Senior Content Developer Microsoft Corporation

Andrew is a Senior Content Developer at Microsoft. His passion for software and teaching comes from 20+ years of software development experience at Microsoft, Siemens, Ericsson and his own startup.

Ivan Griffin, PhD

Founder Emdalo Technologies, Ltd.

Daire McNamara