good course

Astounding

very cool

Thanks :)

So cool

AMAZING

great

Nice

Good

GJ

I liked the topic and instruction of this course. I had bumped onto the notion of datasets earlier, was impatient as I needed to just resolve an issue, and skipped it. Next time I know what they are about and will be able - and happy - to use (including build) them.

Slight minus: presentation in the video often contained some bullets that I couldn't connect to the speech, that is, I had to choose: read or listen.

Bummer: the last week's exercise effectively required to copy-paste from a notebook that was scrolled through in the video. That is silly enough in itself. What is more, for certain errors in the created code in the notebook, the grader gave a standard notification that was not helpful in resolving the identifying what coding error had been made. As the discussion showed, a good number of people - me including - had been struggling with this to the level of feeling helpless to resolve it.

Still four stars for instructional value of the whole course, but I hope for the sake of future students that the above mentioned exercise will be replaced by a better one.

This course was much better than the two before. Here were real exercises you had to do. It was not just about watching the videos. Topic itself was kind of boring. But the quality much better than others. Also on the discussion forum you were able to search for help.

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

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.