Learner Reviews & Feedback for Sequence Models by DeepLearning.AI
About the Course
Top reviews
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
EM
Jun 12, 2019
A really joyful introduction in the Sequence Models, such as RNNs, LSTM etc. Sometimes the assignments got a little hard and with patience and help from forums, it gets achievable! Thanks again! :D
3326 - 3350 of 3,839 Reviews for Sequence Models
By Paul H C
•Nov 19, 2018
Really good course. Exercises are not always connected to the core of the deep learning problem though..
By Sharon M
•Sep 19, 2019
The course is great , in the assignments it is better to stick to single package and TF is preferable.
By Jorge L G
•Jan 29, 2019
Highly recommended course to understand the concept of speech recognition models, very real use cases.
By Alex K
•Mar 15, 2022
Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying
By Fab
•Jun 4, 2020
Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization
By Zhiliang W
•Jan 25, 2019
Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.
By Toma T
•Nov 14, 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 20, 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 8, 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.