返回到 Neural Style Transfer with TensorFlow
学生对 Coursera Project Network 提供的 Neural Style Transfer with TensorFlow 的评价和反馈
111 个评分
课程概述
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.
热门审阅
RB
Jun 17, 2020
Excellent and precise explanation.Nice course.Instructor has been really fantastic.
PA
Jun 2, 2020
This was a great project. Explanations were given nicely.
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1 - Neural Style Transfer with TensorFlow 的 14 个评论（共 14 个）
创建者 Ravi P B
•Jun 18, 2020
创建者 PRASANNA R A
•Jun 3, 2020
创建者 Prashik R
•Jul 3, 2020
创建者 Diego G
•Oct 22, 2020
创建者 Ashwani Y
•May 21, 2020
创建者 KHOKHRIYA D
•Apr 11, 2020
创建者 JONNALA S R
•May 7, 2020
创建者 Kamlesh C
•Jul 16, 2020
创建者 aithagoni m
•Jul 13, 2020
创建者 tale p
•Jun 28, 2020
创建者 Rajasinghe R
•May 28, 2020
创建者 Abrar I A
•Apr 24, 2020
创建者 Leonardo M
•Aug 22, 2020
创建者 Jorge G
•Feb 25, 2021
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