Building Features for Computer Vision in Microsoft Azure

This course will cover how to leverage both an algorithmic as well as a deep learning approach for building features from image data on Microsoft Azure.
Course info
Rating
(10)
Level
Advanced
Updated
Jun 24, 2020
Duration
1h 39m
Table of contents
Description
Course info
Rating
(10)
Level
Advanced
Updated
Jun 24, 2020
Duration
1h 39m
Description

Computer vision enables insights and experiences that previously weren’t possible, but it can seem daunting to know how to extract the information you need out of an image. In this course, Building Features from Image Data in Microsoft Azure, you will learn how to leverage the tools and services provided by Microsoft Azure alongside popular computer vision and deep learning frameworks to extract relevant information from images. First, you will explore computer vision, its use cases, and also take a look at what Azure provides to make this easier for you. Next, you will learn about the algorithmic approach to computer vision by reviewing popular feature descriptors like the scale-invariant feature transform and the histogram of oriented gradients. Finally, you will delve into deep learning as a tool to leverage in computer vision by creating a convolutional neural network to classify images. When you are finished with this course, you will have both the knowledge and tools to build features out of your image data on Microsoft Azure.

About the author
About the author

David is a Webby Award winning cloud development consultant that focuses on cloud native web, mobile, and IoT applications. He has over 15 years of experience building digital solutions.

More from the author
More courses by David Tucker
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hello, everyone. My name is David Tucker, and welcome to the course Building features four computer vision in Microsoft Azure. I'm a cloud consultant, and I help organizations plan, build and implement custom software in the cloud. I have over 10 years of experience building data focused experiences in the cloud computer vision in Ebel's insights and experiences that previously weren't possible. But it can seem daunting to know how to extract the information you need out of an image. In this course, you will learn how to leverage the tools and services provided by Microsoft Azure alongside popular computer vision and deep learning frameworks to extract relevant information from those images. First, we will review computer vision and its use cases. We will also review what Azure provides to make this easier for you. Second, we will review the algorithmic approach to computer vision, and we'll look at popular feature descriptors like the scale in variant feature transformed and the hissed a gram of ordered radiance. Finally, we will examine deep learning as a tool toe leverage in computer vision by creating a convolution ALS neural network to classify images. When you are finished with this course, you will have both the knowledge and tools to build features out of your image. Data on Microsoft Azure