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学生对 Edge Impulse 提供的 Computer Vision with Embedded Machine Learning 的评价和反馈

4.8
154 个评分

课程概述

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems. This course, offered by a partnership among Edge Impulse, OpenMV, Seeed Studio, and the TinyML Foundation, will give you an understanding of how deep learning with neural networks can be used to classify images and detect objects in images and videos. You will have the opportunity to deploy these machine learning models to embedded systems, which is known as embedded machine learning or TinyML. Familiarity with the Python programming language and basic ML concepts (such as neural networks, training, inference, and evaluation) is advised to understand some topics as well as complete the projects. Some math (reading plots, arithmetic, algebra) is also required for quizzes and projects. If you have not done so already, taking the "Introduction to Embedded Machine Learning" course is recommended. This course covers the concepts and vocabulary necessary to understand how convolutional neural networks (CNNs) operate, and it covers how to use them to classify images and detect objects. The hands-on projects will give you the opportunity to train your own CNNs and deploy them to a microcontroller and/or single board computer....

热门审阅

ML

Sep 23, 2021

Great course, Shawn always explains things in a clear and engaging way, with a strong focus on the application of the concepts. I'm definitely looking forward to more courses on embedded ML!

SG

Nov 2, 2022

3rd week was pretty fast and a lot more information can be added in it, i think the course should be 4th week long.still one of the best course to done

筛选依据:

1 - Computer Vision with Embedded Machine Learning 的 25 个评论(共 28 个)

创建者 azadeh g

May 27, 2022

it was a good course to get familiar with machine vision, image classification and object detection concepts. however, I guess it is not the best choice if you don't have access to Edge Impulse, Open MV, and Rapberry Pi, as most simulations and projects need them (as it is clear with the name of the course and partners). Maybe it wuld be bettet to be highlighted more clearly in the description.) Besides I think module 1 and 2 covering the basic ML concepts could be shorter and the last module on Object Detection needed more explanations and details. However, thanks for the course I learnt a lot.

创建者 Michal L

Sep 24, 2021

Great course, Shawn always explains things in a clear and engaging way, with a strong focus on the application of the concepts. I'm definitely looking forward to more courses on embedded ML!

创建者 Julian L

Sep 24, 2021

It´s a great Course . Thanks

创建者 Sourabh G

Nov 3, 2022

3rd week was pretty fast and a lot more information can be added in it,

i think the course should be 4th week long.

still one of the best course to done

创建者 jahid h

Apr 22, 2024

Thanks for helping me to upgrade my konwledge on computer vision and embedded machine learning

创建者 電腦與通訊工程系郭軒佑

Apr 12, 2025

清楚好懂的課程並配上各階段步驟的完整程式碼,不會特別詳細的原理,以實作為主,非常棒的課程

创建者 Antonio R

Sep 2, 2022

A very complete and recommended course.

创建者 Soren L

Jan 9, 2022

Great Introduction to CV with EML!

创建者 Victor C

Jul 10, 2023

Excellent course!

创建者 Kaleab T

Mar 28, 2023

Amazing Course!!!

创建者 Tahar K

Aug 23, 2023

The best One

创建者 Dr. V V

Sep 24, 2024

nice course

创建者 Muhammad I

Sep 24, 2023

Exceptional

创建者 Venkat k

May 21, 2023

good course

创建者 sailendra r

Dec 31, 2022

good course

创建者 Latif U K

Apr 2, 2022

excellent

创建者 Akbar A

Sep 8, 2022

pap ase

创建者 Abhishek k

Aug 28, 2024

Good

创建者 APEXA M S

Nov 14, 2022

good

创建者 Kaviti R

Sep 19, 2022

good

创建者 mauro g

Feb 28, 2022

Nice course, updated info and correct topics depth. I would like that the videos were shorter, I mean split them in several parts. This was maybe the main obstacle. You can develop the project if you want or just pass the grading tests.

创建者 Huỳnh T T

Aug 6, 2023

It would be best if you have a microcontroller board like Ras to practice with.

创建者 Ralph Y

Oct 24, 2021

Helped understand new concepts

创建者 Irving A

Mar 7, 2022

Excelente

创建者 Konchada K

Aug 29, 2022

good