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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/int-openvino
课程评论：没有评论
课程名称：中级英特尔® OpenVINO™ 深度学习应用工具包 课程概述：本课程旨在帮助应用开发人员利用英特尔® OpenVINO™ 工具包部署计算机视觉推理工作负载。课程涵盖多种流行机器学习框架中的计算机视觉神经网络模型，并讲解如何编写一个可移植的应用程序，以便在各种计算设备上进行推理部署。 课程目标是面向应用开发人员，重点关注开发工作流程的示例和讨论。因此，讨论内容不仅包括如何使用工具包的细节，还涉及如何进行基准测试以比较计算设备，或在遇到问题时的应对措施。课程设计为一种指导手册，使学员能够开发基于该工具包的计算机视觉推理部署。完成课程后，学员将具备使用该工具包部署自己计算机视觉应用的技能。 课程大纲： 第一部分：中级英特尔® OpenVINO™ 深度学习应用工具包 描述：课程将提供全面的知识和实践技能，帮助开发人员有效地利用此工具包进行项目开发和部署。
Part: 1
Title:Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
Description:
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. The course is targeted for application developers, and places focus on examples and discussion of the development workflow. As such, the discussions include not only the details about how to use the toolkit itself, but topics like how to take benchmarks to compare compute devices or what to do when you encounter issues. The course is made so that it serves as a how-to guide for developing a computer vision inference deployment with the toolkit. By the end of the course, students will have the skillset necessary to deploy their own computer vision application using the toolkit.
