The course is great , in the assignments it is better to stick to single package and TF is preferable.

Highly recommended course to understand the concept of speech recognition models, very real use cases.

Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

Good course. The lesson on transformer needs to get better, be more logical with more explanations.

Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

learned a lot but I wish their should be some sort of referencing material for further exploration

Lectures were very insightful. Assignments were not as strong. Final week on XFormers was rushed.

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

The Attention model still needs more explanation. I haven't completely grasped attention models

More errors than most in the projects. Likely due to the rush of getting this final course out

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

Really good course but compared to others optional assigments lack instructions in this one.

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

The course is of high quality. However, it is not as good and clear as the previous courses.

Content needs a few improvements in quality but otherwise a valuable and instructive course.

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

very good course for beginner to study. But not enough clear for some concepts and models.

The practice was more guided than other courses. Felt that the Coursera team did all for me

Perfect course except there are are some mistake/ambiguous instruction in course assignment

Great course. Would like it if he kept his notation consistent with what is in the papers.

a lot to learn, content is well presented as usual. one of the assignments requires rework