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Вернуться к Neural Style Transfer with TensorFlow

Отзывы учащихся о курсе Neural Style Transfer with TensorFlow от партнера Coursera Project Network

Оценки: 31
Рецензии: 6

О курсе

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....

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1–6 из 6 отзывов о курсе Neural Style Transfer with TensorFlow

автор: Prasanna R A

Jun 03, 2020

This was a great project. Explanations were given nicely.

автор: Ashwani Y

May 21, 2020

simply awesome


Apr 11, 2020

Great Learning

автор: JONNALA S R

May 07, 2020

Good Analysis

автор: Rajasinghe R

May 28, 2020


автор: Abrar I A

Apr 24, 2020

I will give 4.6/5 the project.This project gives me the opportunity to learn my long desired NST work.Now i am able to generate my own desired content and style image.Though some theoretical content could be handy here still it was a good project to finish.