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Bewertung und Feedback des Lernenden für Image Super Resolution Using Autoencoders in Keras von Coursera Project Network

326 Bewertungen
55 Bewertungen

Über den Kurs

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....


16. Juni 2020

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.

27. Mai 2020

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 - 50 von 55 Bewertungen für Image Super Resolution Using Autoencoders in Keras


30. Mai 2020

Very useful

von Abhishek P G

15. Juni 2020


von Doss D

14. Juni 2020

Thank you

von Kamlesh C

19. Juni 2020



16. Juni 2020


von Santiago G

22. Sep. 2020


von p s

26. Juni 2020


von Vajinepalli s s

18. Juni 2020


von tale p

18. Juni 2020


von DR. S

14. Juni 2020


von Jorge G

25. Feb. 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

von Divyanshu G

16. Juni 2020

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


6. Mai 2020

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

von Tsabar A M M

2. Juli 2020

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

von Anas S

19. Mai 2020

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

von Khin T K

11. Juni 2020

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

von Rama N

15. Sep. 2020

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

von Nikhil S

20. Juli 2020

Not a fan of rhyme but the instructor was good


13. Mai 2020

Great project with simple and clear steps

von YASH A

14. Aug. 2020

great course with good explainations


23. Juni 2020

Super course


22. Juni 2020

No comments


1. Juli 2020


von Ankit G

28. Mai 2020


von Nestor M

20. Juni 2020

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.