4.4
星
886 個評分

Aije Egwaikhide 另外 +1 位授課教師

41,130 人已註冊

提供方

IBM 技能网络

課程信息

113,862 次近期查看

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.

This is a hands-on course and involves several labs and exercises. Labs will combine Jupyter Labs and Computer Vision Learning Studio (CV Studio), a free learning tool for computer vision. CV Studio allows you to upload, train, and test your own custom image classifier and detection models.  At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.

This course does not require any prior Machine Learning or Computer Vision experience. However, some knowledge of the Python programming language and high school math is necessary.

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完成後獲得證書

100% 在線

立即開始，按照自己的計劃學習。

初級

完成時間大約為22 小時

英語（English）

對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版

您將獲得的技能

Deep Learning
Opencv
Artificial Intelligence (AI)
Image Processing
Computer Vision

可靈活調整截止日期

根據您的日程表重置截止日期。

可分享的證書

完成後獲得證書

100% 在線

立即開始，按照自己的計劃學習。

初級

完成時間大約為22 小時

英語（English）

對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版

授課教師

授課教師評分

4.46/5 （163 個評分）

Aije Egwaikhide

Senior Data Scientist

IBM

409,645 個學生

6 門課程

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

885,133 個學生

26 門課程

提供方

IBM 技能网络

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

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授課大綱 - 您將從這門課程中學到什麼

內容評分92%（2,906 個評分）

週

週 1

完成時間為 1 小時

Introduction to Computer Vision

完成時間為 1 小時

4 個視頻（總計 16 分鐘）, 2 個閱讀材料, 2 個測驗

週

週 2

完成時間為 6 小時

Image Processing with OpenCV and Pillow

完成時間為 6 小時

6 個視頻（總計 41 分鐘）

週

週 3

完成時間為 5 小時

Machine Learning Image Classification

完成時間為 5 小時

8 個視頻（總計 37 分鐘）

週

週 4

完成時間為 4 小時

Neural Networks and Deep Learning for Image Classification

完成時間為 4 小時

4 個視頻（總計 20 分鐘）

審閱

4.4

189 條評論

5 stars
64.22%
4 stars
20.09%
3 stars
6.99%
2 stars
3.95%
1 star
4.74%

來自INTRODUCTION TO COMPUTER VISION AND IMAGE PROCESSING的熱門評論

由 ES 提供2020年5月9日

There was a few bugs, but some I was able to get around, others weren't important. The course was very interesting and a good foundation into computer vision

由 KK 提供2020年4月16日

This is one of the best course by IBM. I specifically enjoyed Computer Vision modelling and its related project and also enjoyed the way team put in effort for designing this course.

由 MA 提供2023年1月24日

This course contains a lot of information, and need time to process the information and practice on writing python codes. Overall is an excellent course.

由 TC 提供2020年6月20日

It was a great course that I had fun completing.

I thank the instructors and especially the course mentors for their constant and timely support.

Godspeed,

Tanisha Cijo.

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常見問題

我什么时候能够访问课程视频和作业？
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课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此证书后会得到什么？
您注册课程后，将有权访问证书中的所有课程，并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中，您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
What will I be able to do after completing this course?
After completing this course you will be able to:
●      explain what computer vision is and its applications
●      understand the roles of Python, OpenCV and IBM Watson in computer vision
●      classify images utilizing IBM Watson, Python, and OpenCV
●      build and train custom image classifiers using Watson Visual Recognition API
●      process images in Python using OpenCV
●      create an interactive computer vision web application and deploy it to the cloud
Are there any software or hardware pre-requistes for this course?
No specialized hardware or software is required to complete this course. You will perform all labs and projects in a cloud environment and work with Python in Jupyter Notebooks, OpenCV, and IBM Watson Visual Recognition. Instructions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).
Are there any pre-requisties or prior experience necssary for this course?
Some programming knowledge, especially with Python is needed to complete this course. The following course equips you with the necessary Python background:
- Python for Data Science

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Introduction to Computer Vision and Image Processing

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