Chevron Left
Back to Neural Style Transfer with TensorFlow

Learner Reviews & Feedback for Neural Style Transfer with TensorFlow by Coursera Project Network

111 ratings

About the Course

In this 2-hour long project-based course, you will learn the basics of Neural Style Transfer with TensorFlow. Neural Style Transfer is a technique to apply stylistic features of a Style image onto a Content image while retaining the Content's overall structure and complex features. We will see how to create content and style models, compute content and style costs and ultimately run a training loop to optimize a proposed image which retains content features while imparting stylistic features from another image. 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 Tensorflow pre-installed. Note: 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....

Top reviews


Jun 17, 2020

Excellent and precise explanation.Nice course.Instructor has been really fantastic.


Jun 2, 2020

This was a great project. Explanations were given nicely.

Filter by:

1 - 14 of 14 Reviews for Neural Style Transfer with TensorFlow

By Ravi P B

Jun 18, 2020


Jun 3, 2020

By Prashik R

Jul 3, 2020

By Diego G

Oct 22, 2020

By Ashwani Y

May 21, 2020


Apr 11, 2020


May 7, 2020

By Kamlesh C

Jul 16, 2020

By aithagoni m

Jul 13, 2020

By tale p

Jun 28, 2020

By Rajasinghe R

May 28, 2020

By Abrar I A

Apr 24, 2020

By Leonardo M

Aug 22, 2020

By Jorge G

Feb 25, 2021