Learner Reviews & Feedback for Sequence Models by DeepLearning.AI
About the Course
Top reviews
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
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
â¢Nov 19, 2018
Really good course. Exercises are not always connected to the core of the deep learning problem though..
By Sharon M
â¢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
â¢Jan 29, 2019
Highly recommended course to understand the concept of speech recognition models, very real use cases.
By Alex K
â¢Mar 15, 2022
Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying
By Fab
â¢Jun 4, 2020
Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization
By Zhiliang W
â¢Jan 25, 2019
Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.
By Toma T
â¢Nov 14, 2023
Good course. The lesson on transformer needs to get better, be more logical with more explanations.
By Jessica
â¢Aug 24, 2020
Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture
By Zhao C
â¢Apr 19, 2019
Great class. However, they are some typos/mistakes in the explanations of programming assignments.
By Amiya M
â¢Oct 20, 2018
learned a lot but I wish their should be some sort of referencing material for further exploration
By Patrick B
â¢Nov 8, 2024
Lectures were very insightful. Assignments were not as strong. Final week on XFormers was rushed.
By Alex R
â¢Feb 25, 2019
Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.
By MD Q A
â¢Apr 8, 2018
more excercise should be there in last course, but overall content was very good
thanks Andrew ng
By Sooraj M S
â¢May 13, 2018
The Attention model still needs more explanation. I haven't completely grasped attention models
By Jon-Pierre H
â¢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
â¢Jun 13, 2020
Very good course, informative and easy to follow. Only problem I had is with its auto grader.
By Nojus D
â¢Jul 12, 2020
Really good course but compared to others optional assigments lack instructions in this one.
By Alex F
â¢Apr 7, 2019
My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!
By Phuong-Khanh H
â¢Aug 22, 2018
The course is of high quality. However, it is not as good and clear as the previous courses.
By Wes H
â¢Apr 15, 2018
Content needs a few improvements in quality but otherwise a valuable and instructive course.
By harm l
â¢Feb 19, 2018
Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.
By wayne t
â¢Aug 3, 2021
very good course for beginner to study. But not enough clear for some concepts and models.
By Osvaldo R
â¢Jul 1, 2020
The practice was more guided than other courses. Felt that the Coursera team did all for me
By Cze H Y
â¢Aug 16, 2018
Perfect course except there are are some mistake/ambiguous instruction in course assignment
By Tshepiso M
â¢Apr 5, 2020
Great course. Would like it if he kept his notation consistent with what is in the papers.