Search result for Intel openvino Online Courses & Certifications
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Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications
by Vu Q Nguyen- 4.6
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Approx. 3 hours to complete
This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO 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....
Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
by Kimberly Karalekas- 0.0
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Approx. 5 hours to complete
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....
Intel® Edge AI Fundamentals with OpenVINO™
by Michael Virgo- 0.0
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Approx. 1 month
Learn how to use the Intel Distribution of OpenVINO toolkit to deploy computer vision capabilities inside a range of edge applications....
Free
Intel® Edge AI for IoT Developers
by Stewart Christie , Michael Virgo , Soham Chatterjee , Vaidheeswaran Archana- 0.0
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3 Months
70% of data being created is at the edge, and only half of that will go to the public cloud; the rest will be stored and processed at the edge, which requires a different kind of developer. 15 billion by 2023, at an Annual Growth Rate of 27%. ( MarketsandMarkets ) In the Edge AI for IoT Developers Nanodegree program,...
$399
Accelerate Deep Learning on Raspberry Pi
by Augmented Startups- 3.9
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2 hours on-demand video
How to Accelerate your AI Object Detection Models 5X faster on a Raspberry Pi 3, using Intel Movidius for Deep Learning Learn how we implemented Deep Learning Object Detection Models on Raspberry Pi and accelerated them with Intel Movidius Neural Compute Stick....
$16.99
Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer ...
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This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO 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 ....
Intel® Edge AI Fundamentals with OpenVINO™ | Udacity Free Courses
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The course will introduce students to the Intel® Distribution of OpenVINO™ Toolkit, which allows developers to deploy pre-trained deep learning models through a high-level C++ or Python inference engine API integrated with application logic. Based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware . . ....
Introduction to the Intel Distribution of OpenVINO Toolkit
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The Intel® Distribution of OpenVINO™ toolkit enables you to optimize, tune, and run comprehensive AI inference using the included model optimizer, and runtime and development tools. This course will introduce you to the components and features of the toolkit and walk you through the workflow of using the toolkit to deploy AI-based workloads ....
Intel® Network Builders University - IoT Workshop for OpenVINO™ Toolkit
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She discusses the new programming model to deploy applications on a range of Intel silicon and later details optimization techniques for deep learning inference and pre-trained ....
Intermediate Intel® Distribution of OpenVINO™ toolkit for ... - Coursera
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About this Course. 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 ....
AI on the PC Course - Intel
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The Model Optimizer and inference engine in the Intel® Distribution for OpenVINO™ toolkit on multiple types of hardware; Deep learning tools and frameworks, such as TensorFlow* and Open Neural Network Exchange (ONNX*) The course is structured around eight modules of lectures and exercises. Each module requires one hour to complete ....
