Please make sure the syntax is consistent. One thing I remember was a c_u instead of u_c. I feel sometimes that the explanation in the assignments can be more specific as it is otherwise a lot of guessing or extra learning.

Liked the overarching themes and overall content of the course. Tuning the various OpenCV algorithms was unintuitive and not discussed in the course. Discussion forums are your friend.

I feel disappointed. Programming assignments are neither for 2D object detection nor for semantic segmentation.

Good intro for those with not much experience w/ image processing/computer vision w.r.t. autonomous driving.

The final assignment in this course is at least well designed compared to previous courses.

The range of topics was good but it would have been better if they were explained more.

The content is good, project can be more complicated. One thing I have to complain is the course is lacking support. Specially the common problems about course content and technical issues are long waiting for answers. This will make learners feel really frustrated.

If you are not already familiar with NN, ML areas and image processing , just by watching videos ,it will be hard to pass this course. For a person who doesn't have enough time to search and understand deeply , this course will be difficult !

This course is good for you if you already know the concepts and just want to review it. It's a terrible course if you don't know the concepts and want to learn from it. This is true for all courses in this specialization.

The course was fine till the where for the final assignment, it kept returning a compile error when submitting the solution. There were several students struggling with the issue going back 6 months to a year.

Just annoying theory bits, with no practical coding examples