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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: 111

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....

Лучшие рецензии


17 июня 2020 г.

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


2 июня 2020 г.

This was a great project. Explanations were given nicely.

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1–14 из 14 отзывов о курсе Neural Style Transfer with TensorFlow

автор: Ravi P B

18 июня 2020 г.


3 июня 2020 г.

автор: Prashik R

3 июля 2020 г.

автор: Diego G

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28 июня 2020 г.

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28 мая 2020 г.

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автор: Jorge G

25 февр. 2021 г.