The course content was great and it is more theoretical. Kindly add hands-on or projects.

Helpful guidance but I didn't get enough material to help *me* generalize what I learned.

Some material is trivial. Some quiz questions are ambiguous, or have nonsensical answers.

There's no programming exercises.

Pehaps one for hyper parameter tuning would be nice.

I was expecting more on tensorflow as well as technical work on error corrections.

Too much reading and note taking comparing to application of the topics discussed

I wish there was a programming assignment in this course instead of only quizzes.

It's better to have designed projects to show how to solve these specific issues.

Videos are quite long. Good course although a bit heavier than the previous ones

Useful but not that much for assigning to those topics a course of their own.

First week is a little bit boring for those that did Machine Learning course.

A good course though some programming exercises would have made this better.

I like coding projects and hands on material, this was heavy on the videos

The Course would be bit more Interesting if it some programming insight.

Seemed lots of similar information which was covered in previous courses

It would be better if we could try coding and experimenting these ideas.

There could have been some programming assignments in this course too.

I fear this material won't challenge many learners. Feels like review.

No practise sessions, just theory unlike others in this specialization

No details about some implementations how to implement this techniques

It was awesome but not one of the best courses in the specialization!

Good insights, but not much material and no programming assignments.

U​sefull but only theorethical course without practical excercises.

It was rather disappointing because it didn't meet my expectations.

Covers interesting concepts at length. Videos could be shortened.