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OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, and many others. Based on latest generations of artificial neural networks, including Convolutional Neural Networks (CNNs), recurrent and attention-based networks, the toolkit extends computer vision and non-vision workloads across Intel® hardware, maximizing performance. It accelerates applications with high-performance, AI and deep learning inference deployed from edge to cloud.

OpenVINO™ toolkit:

  • Enables CNN-based deep learning inference on the edge
  • Supports heterogeneous execution across an Intel® CPU, Intel® Integrated Graphics, Intel® Neural Compute Stick 2 and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs
  • Speeds time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels
  • Includes optimized calls for computer vision standards, including OpenCV* and OpenCL™


Learn to Deploy Edge AI Applications Using OpenVINO™ Toolkit

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Intel® Edge AI Certification

Get Edge AI certified with hands-on experience in OpenVINO™ toolkit. Draw from leading libraries and APIs, all running on your choice of Intel® DevCloud for the Edge hardware clusters. Train with real-world use cases involving computer vision deep-learning inference, such as safety gear and manufacturing defect detection, retail loss prevention, and more.

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Coursera: Introduction to OpenVINO™ Toolkit for Computer Vision Applications

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.

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CloudxLab: Developing Deep Learning Applications

Learn to develop Industrial, Retail, Smart City, and other AI applications to solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing and more using Intel® Distribution of OpenVINO™ toolkit.

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Udacity: Intel® Edge AI Fundamentals with OpenVINO™ Toolkit

Learn how to use OpenVINO™ toolkit to deploy computer vision capabilities inside a range of edge applications. Leverage the toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

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