学生对 Coursera Project Network 提供的 Image Super Resolution Using Autoencoders in Keras 的评价和反馈

This was a useless course and I would never pay money for such content. The delivery was bad, so was the coding style.

In this guided project , he has not given the explaination about how to save and get those weights and how to train the model .

The course delivery was average.

The Rhyme platform is extremely user-unfriendly.

Plus, we don't get to see reviews before enrolling in a specific "guided" project, which is terrible.

Hugely disappointing experience.

too easy

Seems good but Rhyme is not working for me. The time between my actions and the response is about 10 seconds. Think about it, it's difficult to even center the screen because it's quite unresponsive.

If you have used Rhyme and it's working for you, then go ahead and take this project. Looks good.

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.

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.

great course, implement quite well on the platform. A little more elaborate implementation and some more theory would be great.

Excelllent! It just need the subtitles, at least in English just to verify some words.

Well taught. Thanks. Please mail me data of the project. I need to revisit the code.

Learnt with flow chart of model which made a basis understanding of the project.

This made autoencoders easier for me to understand

A very interesting and powerful tool, well taught.

I have learned about autoencoder and decoder.

Excellent skills i have learned from these

good project and clearly understandable

Well explained and easy to understand.

it's very helpful and knowledgable

Awesome learning experience.

very useful course

Great explanation!

Was a good one !

great experience

Best course

Good course