课程概述
热门审阅
AM
Jun 30, 2019
The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
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.
3301 - Sequence Models 的 3325 个评论（共 3,818 个）
创建者 Paulami D
•Mar 12, 2018
This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive
创建者 Hui W
•Aug 24, 2024
The project of transformer network is a little bit difficult to work with. But the lectures are very well.
创建者 Tung V t
•Nov 28, 2021
the course is very comprehensive however more details about how backpropagation is done would be great !!!
创建者 Akash S
•Jul 1, 2018
The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.
创建者 Aleksandar B
•May 20, 2018
A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange
创建者 Kiran S
•Feb 4, 2019
Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.
创建者 Brandon C
•Dec 11, 2018
Keras exercises tough to get through based on provided information, but the content was superb as always
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!