返回到 Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications
学生对 英特尔 提供的 Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications 的评价和反馈
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课程概述
Welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for 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 toolkit, 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.
热门审阅
SM
Jan 02, 2020
Nice Course Explain Concept behind and use cases of Open vino tool kit
GW
Nov 25, 2019
I like this courage and will infidelity wanna dive into OpenVINO!
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1 - Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications 的 6 个评论（共 6 个）
创建者 Joaquín M P
•Dec 01, 2019
Highly recommended if you want to learn this new framework for deep learning from Intel.
创建者 Gary W
•Nov 25, 2019
I like this courage and will infidelity wanna dive into OpenVINO!
创建者 SHUBHAM M
•Jan 02, 2020
Nice Course Explain Concept behind and use cases of Open vino tool kit
创建者 Abhiram R D
•Jan 01, 2020
Best and great insights about Open VINO especially for beginners
创建者 Pete L
•Jan 09, 2020
Good intro to the SDK.
创建者 Vin B
•Dec 28, 2019
Good course, but very fast. It could include more deeper material and programming assignments instead of just practical quizzes.