學生對 deeplearning.ai 提供的 Natural Language Processing with Sequence Models 的評價和反饋
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SA
2020年9月27日
Overall it was great a course. A little bit weak in theory. I think for practical purposes whatever was sufficient. The detection of Question duplication was a very much cool model. I enjoy it a lot.
AU
2021年11月11日
This is the third course of NLP Specialization. This was a great course and the instructors was amazing. I really learned and understand everything they thought like LSTM, GRU, Siamese Networks etc.
101 - Natural Language Processing with Sequence Models 的 125 個評論（共 188 個）
創建者 Vladimir B
•2020年7月29日
Great course! I loved it.
創建者 Divya S
•2021年9月19日
I loved this course :)
創建者 Mario A C F
•2021年6月26日
Amazing Experience!
創建者 Esakki p E
•2021年5月21日
Best place to learn
創建者 yeha
•2020年9月16日
can't wait course 4
創建者 Balaji V
•2021年2月20日
Excellent Content!
創建者 Kushagra P
•2022年3月11日
Execellent course
創建者 Deleted A
•2020年9月5日
Very useful !!!!
創建者 Mohammad B A
•2020年12月27日
I am so happy
創建者 Jyotin P
•2020年11月20日
Amazing course
創建者 Sohail Z
•2020年9月7日
JUST GREAT!!!
創建者 Jose L L d J S
•2021年9月17日
Excellent!
創建者 larawang
•2022年5月7日
Thank you!
創建者 Chen
•2021年10月27日
Thank you!
創建者 Onuigwe V
•2020年8月29日
Excellence
創建者 Zoizou A
•2020年10月25日
amazing
創建者 Yongxin W
•2020年10月2日
so cool
創建者 Rifat R
•2020年9月23日
Awesome
創建者 Jeff D
•2020年11月15日
Thanks
創建者 MOURAD B
•2021年4月22日
goood
創建者 Ricardo F
•2021年1月15日
Grear
創建者 M n n
•2020年11月22日
Nice
創建者 Saoudi H
•2020年9月27日
good
創建者 Dave J
•2021年2月15日
There are lots of good points. The instructors are knowledgeable, Lukasz Kaiser is one of the authors of Tensorflow and Trax. The material is generally presented in a clear way. The labs and assignments work smoothly. You learn how to implement significant NLP tasks in a modern framework (Trax).
There are areas where I felt the course could have been better.
The amount of taught material is only about half an hour of lecture per week. I felt that it covered the bare minimum to get you through the assignments but I would have liked a lot more content, going in more depth into the concepts and how the performance of the models discussed compares to state-of the-art models and how it could be improved.
Having already done the Deep Learning Specialization, I was disappointed that this course did not build on that as a foundation. There is a lot of overlap between this course and course 5 of the DL Specialization, Sequence Models. To me, it would have made more sense to make that course a prerequisite, thus avoiding all the duplicated material and instead going beyond it.
The other area where there's some room for improvement, though it's not at all bad, is the teaching style, which is mostly reading from a script. I would like to see more effort to engage with the learner and think about what they might need to progress on their learning journey. For example, discuss the strengths and weaknesses of an approach and where it fits into the history and state of the art of the subject; anticipate questions or likely misunderstandings and try to cover them or point to supplementary material.
Overall, a good course that could have been a great course.
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