Product Image

Computer Vision and Image Analysis

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

Self-Paced

Learning Style

Microsoft

Provider

Intermediate

Difficulty

16 Hours

Course Duration

Course Info

Download PDF

Certificate

See Sample

tab
About Individual Course:
  • Individual course plan gives you access to this course
$99.00
/ Each
When you subscribe, you get:
Learn Subscription plan gives you access to this course and over 881 other popular courses
On Sale!
Now Only $39.99 Regular Price $44.99
Now Only $39.99 Regular Price $44.99
/ Month
Team
Pricing
  • Buy 1-5 Enrollments And Save 0% ($39.99 monthly.)
  • Buy 6-9 Enrollments And Save 10% ($35.99 monthly.)
  • Buy 10-19 Enrollments And Save 20% ($31.99 monthly.)
  • Buy 20-above Enrollments And Save 30% ($27.99 monthly.)

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240
A deep dive into Computer Vision, Image Analysis and Semantic Segmentation using the Microsoft Cognitive Toolkit.

Course Information

About this course:

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 Objective:

  • 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.

Audience:

  • Vision Science specialist
  • Mathematician
  •  Image Analysis

Prerequisite:

  • Working knowledge of Python
  • Skills equivalent to the following courses

Outline

More Information

More Information
Brand Microsoft
Subjects App Development
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Intermediate
Course Duration 16 Hours
Language English

Reviews

Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Course Prerequisites
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence
132%
  • Self-Paced Learning
  • 16 Hours
$99.00
Deep Learning Explained
Deep Learning Explained
10300%
  • Self-Paced Learning
  • 24 Hours
$99.00
Course Expert:

Author

Brian Hernandez
Web development Instructor

 

Brian Hernandez has been in the development field for over a decade. Brain works extensively with Full Stack Web Development, MEAN Stack, MEMR (Mango, Express, MySQL, React) Stack and other Modern Web Frameworks.

Brian is a consultant, and his company is currently catering to clients to want to improve their online presence or build one from scratch. He has worked with high profile companies, helping them move them to digital, both for in-housework, and for having a digital presence for their external stakeholders.

Brian also works as a web-development instructor and teaches everything starting from HTML/CSS basics to layout techniques, programming concepts (objects, arrays, loops etc.), JavaScript, jQuery, and responsive concepts and techniques.

Learn Subscription Includes:

Information
Self-Paced

Online Self-Paced Courses

Take self-paced online courses at your convenience and own pace, with unlimited access to courses in various emerging technologies.

900+ Self-Paced Courses
Information
College

E-Books, Case Studies, And White Papers

As part of informal learning, our platform will recommend E-books, white papers, case studies, articles, and videos. This is AI curated content closely aligned with your learning objectives.

E-Books, Case Studies, And White Papers
Information
College

Assessment Tests

Gauge your knowledge before you start your learning path to see exactly where your skill sets align.

Assessment Tests
Information
Dashboard

Learning Dashboard & Analytics

Access all your enrolled, completed, course statistics, and community discussions from one centralized and intuitive learning dashboard with built in analytics, course tracking, time spent, and more.

Analytics/Reporting
Information
Social

QuickStart Discussions

Engage with other learners where you can directly chat, ask questions, and socialize with other learners experts and instructors on a course subject.

Community Access Community Access
Information
Dashboard

Career Paths

Start a learning pathway towards understanding and mastering your career. With QuickStart career paths, you can fully understanding and being the best in your field.

Learning Paths Learning Paths
Information
Dashboard

Informal Learning

Access to AI curated content from various content publishers which can help in self-directed learning.

Informal Learning Informal Learning

Sign up for your FREE TRIAL, And Explore Hundreds Of Courses.


For Individuals
Start 30-Day Free Trial For Businesses
Explore Plans
click here