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Building Features for Computer Vision in Microsoft Azure

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David Tucker

1:38:58

20 View
  • 00. Course Overview.mp4
    01:26
  • 00. Overview.mp4
    01:03
  • 01. Introduction to Computer Vision.mp4
    07:10
  • 02. Approaches to Computer Vision.mp4
    05:53
  • 03. Azure Services for Computer Vision.mp4
    03:58
  • 04. Launching a Data Science Virtual Machine.mp4
    05:21
  • 05. Summary.mp4
    01:41
  • 00. Overview.mp4
    01:09
  • 01. Image Processing Techniques.mp4
    05:55
  • 02. SIFT Introduction.mp4
    09:01
  • 03. Extracting and Matching Features with SIFT.mp4
    11:19
  • 04. HOG Introduction.mp4
    07:06
  • 05. Extracting and Matching Features with HOG.mp4
    05:33
  • 06. Summary.mp4
    01:10
  • 00. Overview.mp4
    01:19
  • 01. Neural Network Overview.mp4
    07:17
  • 02. Convolutional Neural Network Overview.mp4
    08:48
  • 03. Working with MNIST.mp4
    05:02
  • 04. Creating a CNN for Classification.mp4
    07:37
  • 05. Summary.mp4
    01:10
  • Description


    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.

    What You'll Learn?


      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.

    More details


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    David Tucker
    David Tucker
    Instructor's Courses
    David is a Webby Award winning cloud development consultant that focuses on cloud native web, mobile, and IoT applications. For over fifteen years as a consultant David has led custom software development on emerging platforms for companies such as FedEx, AT&T, Sony Music, Intel, Comcast, Herman Miller, Principal Financial, and Adobe (as well as many others). David regularly writes and speaks on the digital landscape with published works for O'Reilly and Lynda.com. He has written for Mashable, Smashing Magazine, and VentureBeat, and he has spoken at events like AdTech, Interop, and Adobe Max.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 20
    • duration 1:38:58
    • level advanced
    • English subtitles has
    • Release Date 2023/10/11