Chevron Left
Volver a Neural Style Transfer with TensorFlow

Opiniones y comentarios de aprendices correspondientes a Neural Style Transfer with TensorFlow por parte de Coursera Project Network

4.6
estrellas
111 calificaciones

Acerca del Curso

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....

Principales reseñas

RB

17 de jun. de 2020

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

PA

2 de jun. de 2020

This was a great project. Explanations were given nicely.

Filtrar por:

1 - 14 de 14 revisiones para Neural Style Transfer with TensorFlow

por Ravi P B

18 de jun. de 2020

por PRASANNA R A

3 de jun. de 2020

por Prashik R

3 de jul. de 2020

por Diego G

22 de oct. de 2020

por Ashwani Y

21 de may. de 2020

por KHOKHRIYA D

11 de abr. de 2020

por JONNALA S R

7 de may. de 2020

por Kamlesh C

16 de jul. de 2020

por aithagoni m

13 de jul. de 2020

por tale p

28 de jun. de 2020

por Rajasinghe R

28 de may. de 2020

por Abrar I A

24 de abr. de 2020

por Leonardo M

22 de ago. de 2020

por Jorge G

25 de feb. de 2021