课程概述
热门审阅
WK
Mar 13, 2018
I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!
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.
2851 - 序列模型 的 2875 个评论（共 3,306 个）
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 Fabrizio B
•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 Yixuan Z
•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 21, 2018
learned a lot but I wish their should be some sort of referencing material for further exploration
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 9, 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
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