Logo

$79

Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications

Created by -

Kimberly Karalekas
,
Intel

0.00

(0 ratings)

English

Wishlist

Overview

This course is designed for application developers who wants to deploy computer vision inference workloads using the Intel® Distribution of OpenVINOTM toolkit. The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices. The course is targeted for application developers, and places focus on examples and discussion of the development workflow. As such, the discussions include not only the details about how to use the toolkit itself, but topics like how to take benchmarks to compare compute devices or what to do when you encounter issues. The course is made so that it serves as a how-to guide for developing a computer vision inference deployment with the toolkit. By the end of the course, students will have the skillset necessary to deploy their own computer vision application using the toolkit.

course image

USD 79

provider image

Type: Online

This course includes

  • Approx. 9 hours to complete
  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

Taken this course?

Share your experience with other students

Share

Add Review

course image

USD 79

provider image

Type: Online

This course includes

  • Approx. 9 hours to complete
  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

Taken this course?

Share your experience with other students

Share

Add Review

Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications

Created by -

Kimberly Karalekas
,
Intel

0.00

(0 ratings)

All Levels

Start Date: February 10th 2021

Course Description

This course is designed for application developers who wants to deploy computer vision inference workloads using the Intel® Distribution of OpenVINOTM toolkit. The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices. The course is targeted for application developers, and places focus on examples and discussion of the development workflow. As such, the discussions include not only the details about how to use the toolkit itself, but topics like how to take benchmarks to compare compute devices or what to do when you encounter issues. The course is made so that it serves as a how-to guide for developing a computer vision inference deployment with the toolkit. By the end of the course, students will have the skillset necessary to deploy their own computer vision application using the toolkit.

The information used on this page is how each course is described on the Coursera platform.

Course Structure

Tags

Mark Complete


About the Instructor

Kimberly Karalekas,Intel

No Reviews at this moment.

Explore Skillqore

Skillqore Newsletter

Keep me up to date with content, updates, and offers from Skillqore


Copyright © 2020 Skillqore, Inc. All Rights Reserved.