JY
Oct 29, 2018
The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.
MK
Mar 13, 2024
Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects
By Toma T
•Nov 15, 2023
Good course. The lesson on transformer needs to get better, be more logical with more explanations.
By Jessica
•Aug 24, 2020
Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture
By Zhao C
•Apr 19, 2019
Great class. However, they are some typos/mistakes in the explanations of programming assignments.
By Amiya M
•Oct 21, 2018
learned a lot but I wish their should be some sort of referencing material for further exploration
By Patrick B
•Nov 8, 2024
Lectures were very insightful. Assignments were not as strong. Final week on XFormers was rushed.
By Alex R
•Feb 25, 2019
Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.
By MD Q A
•Apr 9, 2018
more excercise should be there in last course, but overall content was very good
thanks Andrew ng
By Sooraj M S
•May 13, 2018
The Attention model still needs more explanation. I haven't completely grasped attention models
By Jon-pierre H
•Feb 27, 2018
More errors than most in the projects. Likely due to the rush of getting this final course out
By Lee H H J
•Jun 13, 2020
Very good course, informative and easy to follow. Only problem I had is with its auto grader.
By Nojus D
•Jul 12, 2020
Really good course but compared to others optional assigments lack instructions in this one.
By Alex F
•Apr 7, 2019
My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!
By Phuong-Khanh H
•Aug 22, 2018
The course is of high quality. However, it is not as good and clear as the previous courses.
By Wes H
•Apr 15, 2018
Content needs a few improvements in quality but otherwise a valuable and instructive course.
By harm l
•Feb 19, 2018
Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.
By wayne t
•Aug 3, 2021
very good course for beginner to study. But not enough clear for some concepts and models.
By Osvaldo R
•Jul 1, 2020
The practice was more guided than other courses. Felt that the Coursera team did all for me
By Cze H Y
•Aug 16, 2018
Perfect course except there are are some mistake/ambiguous instruction in course assignment
By Tshepiso M
•Apr 5, 2020
Great course. Would like it if he kept his notation consistent with what is in the papers.
By Sven S
•Aug 9, 2019
a lot to learn, content is well presented as usual. one of the assignments requires rework
By 朱涧江
•Mar 20, 2018
Seem like not as good as before course,Wait so much time but is not clear as course before
By Yuping Y
•Mar 15, 2023
good course. Especially good in explaining the reasons and thoughts behind the algorithms
By Sarang P
•Nov 17, 2020
Trigger word detection assignment notebook has some bugs. Had a hard time submitting it
By Glorian Y
•Oct 30, 2019
There are many bugs in the assignment. Else, the material content and videos are great!
By Ryan B
•Mar 19, 2019
Really good but I guess you should teach more about how to apply all these models more.