Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications By Coursera

 

About this Course

191,083 recent views welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for the Computer Vision Applications course!

This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit. With the skills you acquire from this course, you will be able to describe the value of tools and utilities provided in the Intel Distribution of OpenVINO toolkits, such as the model downloader, model optimizer, and inference engine. Who this class is for: This course is intended for learners with no prior experience with computer vision, although previous knowledge is helpful. This course is ideal for anyone interested in learning more about core concepts of computer vision applications and the Intel Distribution of OpenVINO toolkit. Estimated Workload: You should expect to allocate about 3 hours to complete this course. Learner pre-requisites: No prior knowledge of computer vision is necessary, although previous experience is helpful.

Flexible deadlines
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Shareable Certificate

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Beginner Level

 No prior knowledge of computer vision is necessary, although previous experience is helpful.  

Approx. 3 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

 

WHAT YOU WILL LEARN

 

Foundational knowledge of Intel® Distribution of OpenVINO™ toolkit

Foundational knowledge of deep learning for computer vision applications 

The phases of the inference flow

Intel® hardware acceleration and optimization techniques

 

SKILLS YOU WILL GAIN

Deep Learning

Intel OpenVINO

Python Programming

C++

Computer Vision

     

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