|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/accelerate-deep-learning-on-raspberry-pi-movidius/
课程评论：没有评论
课程名称：在树莓派上加速深度学习 课程概述：该课程讲述了如何在树莓派上实现深度学习目标检测模型，并通过英特尔 Movidius 神经计算棒加速这些模型。当我们刚开始学习深度学习，尤其是计算机视觉时，对这种技术能帮助人们的潜力感到兴奋。然而，图像分类和目标检测通常需要昂贵、消耗大量电力且体积庞大的深度学习机器，而并非每个人都能负担得起或实施 AI 技术于实际应用中。于是我们寻找了一种经济、紧凑、低功耗的替代方案，最终选择了树莓派这一多功能计算解决方案。我们探索了如何将深度学习模型移植到这一紧凑计算单元上，并以近实时的速度运行。 为了提高我们的目标检测帧率，我们决定将树莓派与英特尔的 AI 加速 USB 棒结合使用。尽管看似简单，但实现过程中我们遇到了许多bug，解决这些问题的过程相当繁琐。在查阅了无数论坛、教程和博客后，我们整理了一份连贯的指南，形成了本课程，逐步向您展示如何在视频和网络摄像头上实施自己的深度学习目标检测模型，免去繁琐的调试过程。课程内容旨在减少调试时间，加快您的市场上线速度并尽早获得结果。 学习内容包括： - 基础知识：即使是初学者也能轻松上手树莓派 - 深度学习基础 - 各种目标检测模型的优缺点 - 安装 Movidius 神经计算棒（NCS）SDK - 通过 Raspbian 上的 OpenVINO，兼容树莓派的 NCS2（本课程主要针对 Movidius 版本 1） - 在录制或实时视频中运行 Yolo 和 Mobilenet SSD 目标检测模型 额外收益： - OpenCV CPU 推理介绍 - 自定义模型训练入门 - 个人辅导：课程中会定期提供办公时间解答学生问题，所有问题我会尽快回复，几乎99%的问题在24小时内处理 完成课程后，您将获得一份完成证书，可以证明您的专业能力，对于寻找人工智能相关工作或自由职业者客户，将有助于您更具竞争力。 课程保证：本课程提供无条件的30天退款保证，这不仅是保证，更是我对您成功的个人承诺。如有任何疑问，我将尽力提供帮助。现在就点击按钮加入我们，学习如何在树莓派上开发加速 AI！
Learn how we implemented Deep Learning Object Detection Models on Raspberry Pi and accelerated them with Intel Movidius Neural Compute Stick.When we first got started in Deep Learning particularly in Computer Vision, we were really excited at the possibilities of this technology to help people. The only problem is, that image classification and object detection runs just fine on our expensive, power consuming and bulky Deep Learning machines. However, not everyone can afford or implement AI for their practical applications. This is when we went searching for an affordable, compact, less power hungry alternative. Generally if we'd want to shrink our IoT and automation projects, we'd often look to the Raspberry Pi which is versatile computing solution for numerous problems. This made us ponder about how we can port out deep learning models to this compact computing unit. Not only that, but how could we run it at close to real-time?Amongst the possible solutions we arrived at using the raspberry pi in conjunction with an AI Accelerator USB stick that was made by Intel to boost our object detection frame-rate. However it was not so simple to get it up and running. Implementing the documentation, we landed up with a series of bugs after bugs, which became a bit tedious. After endless posts on forums, tutorials and blogs, we have documented a seamless guide in the form of this course; which will show you, step-by-step, on how to implement your own Deep Learning Object Detection models on video and webcam without all the wasteful debugging. So essentially, we've structured this training to reduce debugging, speed up your time to market and get you results sooner. In this course, here's some of the things that you will learn:Getting Started with Raspberry Pi even if you are a beginner,Deep Learning Basics,Object Detection Models - Pros and Cons of each CNN,Setup and Install Movidius Neural Compute Stick (NCS) SDK,Currently, the OpenVINO is available for Raspbian, so the NCS2 is already compatible with the Raspberry Pi, but this course is mainly for the Movidius (NCS version 1).Run Yolo and Mobilenet SSD object detection models in recorded or live videoYou also get helpful bonuses:*OpenCV CPU inference*Introduction to Custom Model TrainingPersonal help within the courseI donate my time to regularly hold office hours with students. During the office hours you can ask me any business question you want, and I will do my best to help you. The office hours are free. I don't try to sell anything.Students can start discussions and message me with private questions. I answer 99% of questions within 24 hours. I love helping students who take my courses and I look forward to helping you. I regularly update this course to reflect the current marketing landscape.Get a Career Boost with a Certificate of Completion Upon completing 100% of this course, you will be emailed a certificate of completion. You can show it as proof of your expertise and that you have completed a certain number of hours of instruction.If you want to get a marketing job or freelancing clients, a certificate from this course can help you appear as a stronger candidate for Artificial Intelligence jobs.Money-Back GuaranteeThe course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's my personal promise to you that I will go out of my way to help you succeed just like I've done for thousands of my other students. Let me help you get fast results. Enroll now, by clicking the button and let us show you how to develop Accelerated AI on Raspberry Pi.
