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返回到 Image Super Resolution Using Autoencoders in Keras

學生對 Coursera Project Network 提供的 Image Super Resolution Using Autoencoders in Keras 的評價和反饋

4.4
308 個評分
54 條評論

課程概述

Welcome to this 1.5 hours long hands-on project on Image Super Resolution using Autoencoders in Keras. In this project, you’re going to learn what an autoencoder is, use Keras with Tensorflow as its backend to train your own autoencoder, and use this deep learning powered autoencoder to significantly enhance the quality of images. That is, our neural network will create high-resolution images from low-res source images. 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 Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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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AZ
2020年6月16日

Very informative, but extremely short project, I would have loved for more explanation on the theory behind each of the layers used and more loss functions and optimizer.

KT
2020年5月27日

Amazing course to gain knowledge in one of the trending field i.e. Image Super Resolution. I gain what I was looking for in this particular guided project.

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26 - Image Super Resolution Using Autoencoders in Keras 的 50 個評論(共 54 個)

創建者 XAVIER S M

2020年5月30日

Very useful

創建者 Abhishek P G

2020年6月15日

satisfied

創建者 Doss D

2020年6月14日

Thank you

創建者 Kamlesh C

2020年6月19日

Thankyou

創建者 SAIKUMAR T

2020年6月16日

Awesome

創建者 Santiago G

2020年9月22日

Thanks

創建者 p s

2020年6月26日

Nice

創建者 Vajinepalli s s

2020年6月18日

nice

創建者 tale p

2020年6月18日

good

創建者 DR. S

2020年6月14日

Good

創建者 Divyanshu G

2020年6月16日

The theory explanation was succinct and satisfactory. The coding style and code explanation could have been better. Overall good for introduction to autoencoder.

創建者 SIVAKUMAR R

2020年5月6日

Excellent ! New concept and definitely not boring. The instructor was able to explain most of the necessary elements but some functions were never explained.

創建者 Tsabar A M

2020年7月2日

good experience. very clear explanations. I liked it and recommend it for anyone who wants to understand and experience autoencoder basics.

創建者 Anas S

2020年5月19日

The virtual machine had a lot of problems that made it difficult to type in capital letters. Otherwise a good course

創建者 Khin T K

2020年6月11日

It really helps me a lot. But I could not test with pretrained model. It's sad. Thank you so much.

創建者 Rama N

2020年9月15日

UI of platform was very bad scrolling was very difficult. content was quite good.

創建者 Nikhil S

2020年7月20日

Not a fan of rhyme but the instructor was good

創建者 FAQIHI

2020年5月12日

Great project with simple and clear steps

創建者 YASH A

2020年8月14日

great course with good explainations

創建者 SARAVANAN.V

2020年6月23日

Super course

創建者 ANANTHARAJ.R

2020年6月22日

No comments

創建者 SUMIT Y

2020年7月1日

NICE,BUT!!

創建者 Ankit G

2020年5月28日

good

創建者 Nestor M

2020年6月20日

The course provides a good understanding of the theory. However, the Coursera learning platform is quite unhandy, watching the video and typing at the same time. The performance speed in the platform is also slow. Overall, the course was great if it wasn't for the learning platform, but I mean, for 2h of your time definitely worth checking it out.

創建者 ravi k

2020年4月27日

better