Debugging exercises due to errors in indentation sounded stupid in the first place. But the joy of finally getting a "yes" in the assignment auto-grader beats them all.

Was not that much engaging because the lectures were not linked properly and were lacking examples to support the content

Excellent content, but the design of Exercise 4 tainted the experience somewhat by the end.

Great explanation, however I believe in Week3 there are some broken links . . .heart.csv

Would be a 5-start if the last assignment was a bit well thought out.

Last week exercise is problematic and not that educational

Coding exercises were generally straightforward.

More and better explanations are needed

week 4 wasn't very clear

very technical!

This course is really interesting during the start, because there are a lot of hands-on for us to play around with the code. It shows the capability of TensorFlow as a Machine Learning framework which can also be used for data preprocessing before the model training.

However, the Assignments were very poorly designed in my opinion. I relied heavily on the discussion forums to pass the Assignments. It seems like a bug to me when you need to navigate through the Jupyter workspace to find the Week 5 notebook, then modify the codes from there and submit it to pass the Week 4 assignment.

Course content deserves 5 starts. Really nice and very useful tutorial. But assignments are not as good as the content. There are very less explanation , many mistakes ( specially at the last assignment, because of typo, you may submit several times) , no expected outcome to control before submitting (evaluation time of third assignment took around 30 minutes for me).

The content of weeks 1 to 3 is very useful and the videos are clear. However the content of week 4 goes way to fast, and the last exercice is way more difficult to do, and to validate. The number of questions in the forum on that matter illustrates that something could be improve. Though, thanks for the course!

too much informations but for the most part it's made for the researchers, dealing with so many complicated methods and functions in tensorflow, which was helpful but the codes were too much and not described indepth, maybe you can improve the way you showcase the codes slowly and in different senarios.

Awesome content, but most code uses outdated/being deprecated APIs... it still works, displaying warnings, and still good to learn the processes, but, please, someone should update that code before it stops working, and it looses reputation

A lot of information was crammed in videos of very short duration. The course could have been more comprehensive. Also, a detailed explanation of errors on making wrong submissions would be very helpful.

Not in the same level as other courses in this specialization. Disappointed.

Dataset creation task was more complex for me then all previous before.

Last Assignment does not have proper logs and instructions.

Very poor course experience due to assignment grader!!

Assignments were very poor - especially week 4.

week 2 and week 4 is quite hard to follow

The final assignment is just annoying

Fix the Week 4 Assignment please.

That last week was awful.