About this Course

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Start instantly and learn at your own schedule.
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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

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 LearningIntel OpenVINOPython ProgrammingC++Computer Vision
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

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

Approx. 3 hours to complete
English

Instructor

Offered by

Placeholder

Intel

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

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

3 hours to complete
9 videos (Total 54 min), 4 readings, 9 quizzes
9 videos
What's included in the Intel® Distribution of OpenVINO™ Toolkit?3m
Inference Flow2m
Model Optimizer Concept3m
Model Downloader2m
Inference Engine Concept3m
Intel® Distribution of OpenVINO™ Toolkit and Development Kits5m
First Two Demos3m
Intel® Distribution of OpenVINO™ Toolkit: Part 214m
4 readings
Welcome10m
Discussion Prompt Overview10m
Hands-On Project10m
Conclusion10m
9 practice exercises
Intel® Distribution of OpenVINO™ Toolkit: Part 110m
What's included in the Intel® Distribution of OpenVINO™ Toolkit?10m
Inference Flow10m
Model Optimizer Concept10m
Model Downloader10m
Inference Engine Concept10m
Intel® Distribution of OpenVINO™ Toolkit and Development Kits10m
First Two Demos10m
Intel® Distribution of OpenVINO™ Toolkit: Part 210m

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