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返回到 Deep Learning with PyTorch : Neural Style Transfer

學生對 Coursera Project Network 提供的 Deep Learning with PyTorch : Neural Style Transfer 的評價和反饋

4.3
51 個評分
11 條評論

課程概述

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....

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VM
2020年12月16日

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

JA
2021年2月21日

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

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1 - Deep Learning with PyTorch : Neural Style Transfer 的 13 個評論(共 13 個)

創建者 Jose L M M

2021年6月13日

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.

創建者 Vatsal K M

2020年12月17日

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

創建者 Jodhani Z A

2021年2月22日

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

創建者 Kartik D

2021年1月16日

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

創建者 Sania Z

2021年9月27日

I​t was great and effective

創建者 Gabriel F

2021年9月14日

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創建者 Huyy N

2021年7月12日

Very suitable for me

創建者 Tarun K

2021年11月18日

Awesome:)

創建者 Yutaro O

2021年5月14日

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.

創建者 Monish

2021年8月5日

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

創建者 Jung S

2021年9月17日

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

創建者 Frank W

2021年11月2日

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

創建者 Christos G

2020年12月6日

Nice but it needs to be more explanatory!