课程概述
热门审阅
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
CD
Sep 27, 2018
Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.
3326 - Sequence Models 的 3350 个评论（共 3,839 个）
创建者 Paul H C
•Nov 19, 2018
Really good course. Exercises are not always connected to the core of the deep learning problem though..
创建者 Sharon M
•Sep 19, 2019
The course is great , in the assignments it is better to stick to single package and TF is preferable.
创建者 Jorge L G
•Jan 29, 2019
Highly recommended course to understand the concept of speech recognition models, very real use cases.
创建者 Alex K
•Mar 15, 2022
Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying
创建者 Fab
•Jun 4, 2020
Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization
创建者 Zhiliang W
•Jan 25, 2019
Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.
创建者 Toma T
•Nov 14, 2023
Good course. The lesson on transformer needs to get better, be more logical with more explanations.
创建者 Jessica
•Aug 24, 2020
Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture
创建者 Zhao C
•Apr 19, 2019
Great class. However, they are some typos/mistakes in the explanations of programming assignments.
创建者 Amiya M
•Oct 20, 2018
learned a lot but I wish their should be some sort of referencing material for further exploration
创建者 Patrick B
•Nov 8, 2024
Lectures were very insightful. Assignments were not as strong. Final week on XFormers was rushed.
创建者 Alex R
•Feb 25, 2019
Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.
创建者 MD Q A
•Apr 8, 2018
more excercise should be there in last course, but overall content was very good
thanks Andrew ng
创建者 Sooraj M S
•May 13, 2018
The Attention model still needs more explanation. I haven't completely grasped attention models
创建者 Jon-Pierre H
•Feb 27, 2018
More errors than most in the projects. Likely due to the rush of getting this final course out
创建者 Lee H H J
•Jun 13, 2020
Very good course, informative and easy to follow. Only problem I had is with its auto grader.
创建者 Nojus D
•Jul 12, 2020
Really good course but compared to others optional assigments lack instructions in this one.
创建者 Alex F
•Apr 7, 2019
My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!
创建者 Phuong-Khanh H
•Aug 22, 2018
The course is of high quality. However, it is not as good and clear as the previous courses.
创建者 Wes H
•Apr 15, 2018
Content needs a few improvements in quality but otherwise a valuable and instructive course.
创建者 harm l
•Feb 19, 2018
Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.
创建者 wayne t
•Aug 3, 2021
very good course for beginner to study. But not enough clear for some concepts and models.
创建者 Osvaldo R
•Jul 1, 2020
The practice was more guided than other courses. Felt that the Coursera team did all for me
创建者 Cze H Y
•Aug 16, 2018
Perfect course except there are are some mistake/ambiguous instruction in course assignment
创建者 Tshepiso M
•Apr 5, 2020
Great course. Would like it if he kept his notation consistent with what is in the papers.