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學生對 Coursera Project Network 提供的 Computer Vision: Neural Transfer Style & Green Screen Effect 的評價和反饋

45 個評分
7 條評論


In this 1-hour long project-based course, you will learn how to do Computer Vision on images and videos with OpenCV and Python using Jupyter Notebook. You will understand how Neural Transfer Style works and you'll use it on images and on videos. Finally, you'll learn how to use the Green Screen Effect on your images. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and OpenCV pre-installed. Prerequisites: In order to be successful in this project, you should have an intermediate knowledge of Python and OpenCV. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....



1 - Computer Vision: Neural Transfer Style & Green Screen Effect 的 7 個評論(共 7 個)

創建者 Matheus F H


Great explanation and it's help more efficient if you want to edit like a pro with Adobe Illustrator or Photoshop

創建者 Yuvraj S C


ek number

創建者 Doss D


Thank u

創建者 Bhavesh W



創建者 Ravi P B


This guided project is not upto the standards.No explanation given for workflow ,no resource files given.Won't recommend taking it.

創建者 Aravind A


I was not even able to access Rhyme. I just went through the video and attended the test. I didn't get any first hand experiance.

創建者 Divyam B


Useless Project