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Avis et commentaires pour d'étudiants pour Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications par Intel

4.2
stars
19 évaluations
6 avis

À propos du cours

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....

Meilleurs avis

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 - 6 sur 6 Avis pour Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications

par Joaquín M P

Dec 01, 2019

Highly recommended if you want to learn this new framework for deep learning from Intel.

par Gary W

Nov 25, 2019

I like this courage and will infidelity wanna dive into OpenVINO!

par SHUBHAM M

Jan 02, 2020

Nice Course Explain Concept behind and use cases of Open vino tool kit

par Abhiram R D

Jan 01, 2020

Best and great insights about Open VINO especially for beginners

par Pete L

Jan 09, 2020

Good intro to the SDK.

par Vin B

Dec 28, 2019

Good course, but very fast. It could include more deeper material and programming assignments instead of just practical quizzes.