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Вернуться к Deep Learning with PyTorch : Neural Style Transfer

Отзывы учащихся о курсе Deep Learning with PyTorch : Neural Style Transfer от партнера Coursera Project Network

4.3
звезд
Оценки: 50
Рецензии: 11

О курсе

In this 2 hour-long project-based course, you will learn to implement neural style transfer using PyTorch. Neural Style Transfer is an optimization technique used to take a content and a style image and blend them together so the output image looks like the content image but painted in the style of the style image. We will create artistic style image using content and given style image. We will compute the content and style loss function. We will minimize this loss function using optimization techniques to get an artistic style image that retains content features and style features. This guided project is for learners who want to apply neural style transfer practically using PyTorch. In order to be successful in this guided project, you should be familiar with the theoretical concept of neural style transfer, python programming, and convolutional neural networks.A google account is needed to use the Google colab environment....

Лучшие рецензии

VM
16 дек. 2020 г.

The understanding in this course is amazing and very satisfying. I will recommended to my friends to take this one.

JA
21 февр. 2021 г.

Excellent course with great structure, I will highly recommend this course and instructor was very knowledgeable.

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1–13 из 13 отзывов о курсе Deep Learning with PyTorch : Neural Style Transfer

автор: Jose L M M

13 июня 2021 г.

The content and the explanations were just right! I took the project as an introduction to pytorch and now I'm so happy with that decission. The teacher is precise and the lessons are practical and understandable.

автор: Vatsal K M

17 дек. 2020 г.

The understanding in this course is amazing and very satisfying. I will recommended to my friends to take this one.

автор: Jodhani Z A

22 февр. 2021 г.

Excellent course with great structure, I will highly recommend this course and instructor was very knowledgeable.

автор: Kartik D

16 янв. 2021 г.

It was a super informative project course, very well explained and demonstrated.

автор: Sania Z

27 сент. 2021 г.

I​t was great and effective

автор: Gabriel F

14 сент. 2021 г.

asdasdasdasdasdasdasdsadsad

автор: Huyy N

12 июля 2021 г.

Very suitable for me

автор: Tarun K

18 нояб. 2021 г.

Awesome:)

автор: Yutaro O

14 мая 2021 г.

It provides a moderate amount and difficulty of hands-on experience in neural style transfer.

Only one point of the flaw for this course is that it gives little information on the original paper of this method, such as when it was proposed, how it was rated, and why it works well.

автор: Monish

5 авг. 2021 г.

A​ liitle more talk about the theoretical background of the paper would have been nice

автор: Jung S

17 сент. 2021 г.

No explanation about why some layers were chosen, just typing of codes and codelab is super slow because of some remote connection

автор: Frank W

2 нояб. 2021 г.

liked the step by step, but some parts could not understand

автор: Christos G

6 дек. 2020 г.

Nice but it needs to be more explanatory!