Learner Reviews & Feedback for Sequence Models by DeepLearning.AI
About the Course
Top reviews
JS
Jul 12, 2020
brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.
PG
Jan 25, 2019
This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end
3526 - 3550 of 3,825 Reviews for Sequence Models
By Sayon S
•Jun 11, 2018
A bit cryptic
By Phoenix A
•Mar 28, 2018
Good material
By yanhang
•Jul 17, 2019
very useful
By Paul A
•Feb 24, 2019
a bit hard!
By Sonia D
•Jan 31, 2019
Very Useful
By BILLA N R
•Apr 18, 2020
productive
By Roberto J
•Feb 14, 2018
Thank you.
By Ariel H
•Oct 13, 2018
Excellent
By Iraneus O
•Jan 3, 2025
Helpful!
By Aditya R
•Aug 17, 2025
Learner
By OMKAR S
•Jun 1, 2020
Average
By Kelyn B T
•Sep 15, 2022
Great
By Rahil S V
•Oct 3, 2022
Great
By Dave L
•Jul 11, 2020
good
By Kiran B
•Apr 5, 2020
nice
By VIGNESHKUMAR R
•Oct 24, 2019
good
By Shashank V M
•Sep 16, 2019
Good
By Yashwanth M
•Jul 23, 2019
Good
By Rahila T
•Nov 15, 2018
Good
By savinay s
•Apr 9, 2018
good
By kms g
•Mar 22, 2018
g
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By Aaradhya S
•Apr 25, 2020
..
By Aryan N
•Jun 29, 2025
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By Natalia O
•Oct 4, 2019
in comparison to the previous courses from this sequence, this one is even less structured - ptobably this is because even broader knowledge is tried to be shown in only 3 weeks, but i feel like a lot is skipped between videos (which are ok) and the tasks - in many assignment tasks in this course it is not very well explained what is meant to be done - i mean this especially in case of Keras objects. In many cases it is quite unclear how those classes are supposed to be handled in the context of our task. There are some hints but those are mostly links to documentation (btw, some of the links are no longer up to date), but it is often not too well explained which properties those objects have, what one can do etc. so one ends up with trying using those objects in different configuarations, then googling around, looking on the course forum for the right answer but it is very difficult to derive it. There should be more precise instructions regarding handling Keras objects - the examples in the documentation and in blogs are often much simpler than those from assignments so one ends up not knowing what is going on. In summary - there is a big jump and a big gap between the intuitions in videos (which btw are much more fuzzy than those in first cources in the specialization, the intuitions get more and more superfluous as one doesnt go into detail) and what is being done in the assignments. One thing i really liked about hte previous assignments was that when writing the code one could really know very well what is going on. And this is no longer the case in this course...
By Mark S
•Oct 9, 2019
As we head to the last course in the specialization (and the last two courses are the ones that interested me), we have error after error in the assignments, including problems with the kernel that are not obvious until you've struggled with incoherent stack trace output for a while.
Searching the disorganised discussion centre for the course/week in question you can find that these errors affect everyone and go back for a couple of years, never having been fixed. The mentors there help explain, but mentors cannot edit to fix the code as they do not have permission, and the course supervisors have long since disappeared. So you have to submit incorrect code to pass, then fix the code for your personal private code store - as the fixed code generates the correct numerical answers that unfortunately do not match the numerical answers that the grader requires to pass you!
It feels like, in the hurry to get the full specialization out, the final courses go downhill in terms of care & attention in the rush. Then afterwards, all of the errors and badly designed code in the assignments cause many unexpected headaches, nothing to do with DL, and were never fixed or maintained afterwards by the course supervisors.
In the end, the delays caused to me in the final (two) course(s) added at least one extra monthly payment on to my subscription. Overall I can't complain, the specialization is good. But feels abandoned by the lecturer & assistant lecturers since early 2018