In general the course isn't deep enough. There are no summaries of the lectures, there are no excercises during lectures, the programming assignments are very weak, they don't challenge the use of lectures or anything - all necessary data are in the notebooks. All this course will be lost in a week.

Sadly the last course assignment didn't compile properly in the sections that were outside the "graded functions" (more specifically in Week 3). Also some of the questions of the quizzes were intentionally misleading but for very unimportant details.

They should improve the programming labs.

There's too much repetition in things like programming a function that initializes the parameters while important things, like model definition, are already written in the notebook.

The whole tensor flow introduction is weak - it clearly requires further reading, which is fine but totally out of kilter with the videos so far, which have taken things from first principles very clearly.

A technical problem with the grader caused my grade to be artificially lower on the last project. Although I was instructed to resubmit, the course ended with a lower grade than I should have received.

Not much implementation required of the students. More testing of the methods would be useful or if the concepts are the focus then this course should be merged into another course in the sequence.

The course material is good but Jupyter notebook interface does not work correctly. You will waste a lot of you precious time fiddling and redoing work that you lose when the notebook fails to save.

could be accomplished in a week. wastes time and doesnt go in sufficient depth.

After completion, you will get a 'taste' of optimization techniques, but it is not way comprehensive.

The course was good but there were multiple mistakes in the final programming assignment. These mistakes were reported in the forums over 4 months ago and have not been addressed.

I find that the programming assignments have a LOT of copy pasta. Also, wasn't enthused to hear that we are using an out of data framework.

Very poor explanations, not correlated with the quitz and exercises. Missing more theoretical material in pdf with some more explanations.

the instructor must give some more detailed explanation of the optimization techniques and hyperparameter tuning

From my point of view this course deserves a bit more time. Too much material rushed through in too little time.

Was way harder than the Course1 and Course2. Should be simplifier on topic la batch norm, expo. weighted avg..

The notebooks of this class are terrible. They should receive more attention so you actually learn something.

There are many errors in the course materials and no one seems willing to fix them.

When I submit the assignment, the output is the same, but there is no point for it

The programming assignment for week 3 was full of bugs

Could have been a 4 week course

last pa needs revision

very basic course

ala0z

good

here is a bug in Week1's programming assignment,Gradient Checking ("Exercise 3 - gradient_check" and "Exercise 4 - gradient_check_n")

the problem is that I search everywhere in forum provided by the course and still cant find a solution，none of course's administrator or man in charge provided a solution,instead of they told you over and over again"make your question on Deeplearning.AI",which is their community forum

I just ask for a solution ok so i can fix this assignment and pass

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The course was updated half way through, we were automatically rolled on to the updated version and progress already made on the course was reset from under our feet. We had to retake previously completed and passed content, wasting much time. It also did not help that the website reported the course content we had to retake as complete in some areas of the site and not others.