GS
2019년 8월 26일
Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!
AS
2020년 7월 21일
Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!
교육 기관: Apoorv G
•2020년 7월 17일
Short Videos are annoying. Overall content is good.
교육 기관: Swetha S
•2020년 5월 10일
No graded assignments. No conceptual explanation.
교육 기관: Biao W
•2020년 4월 16일
Need more explanations on the RNN models itself.
교육 기관: Soumya B
•2021년 11월 21일
Please add Coursera assignment based on coding
교육 기관: Ramil A
•2020년 4월 15일
I wish there were more graded projects.
교육 기관: Igors K
•2019년 11월 21일
No practical exercises that one must do
교육 기관: Shubham A G
•2019년 8월 31일
A bit too easy and no real assignments
교육 기관: Yuxuan C
•2020년 4월 12일
I wish there were graded assignments.
교육 기관: Ashwin H
•2020년 4월 25일
Coding assignments are much needed!
교육 기관: Ahmad O
•2020년 9월 14일
Assignments need some improvment.
교육 기관: SUMIT V
•2020년 5월 28일
not enough programming exercises
교육 기관: giuseppe d
•2020년 7월 19일
Concepts explained too quiclky
교육 기관: Salem S
•2020년 4월 16일
Code should be explained more
교육 기관: albert
•2020년 6월 20일
Not challenging enough....
교육 기관: Ankit G
•2020년 5월 17일
No programming assignments
교육 기관: Leon V
•2020년 6월 13일
Force me to write code.
교육 기관: Artem K
•2020년 10월 6일
Need more practice
교육 기관: Vikas C
•2019년 12월 24일
Good course
교육 기관: Yining Z
•2022년 1월 8일
too easy
교육 기관: Hamzeh A
•2019년 8월 20일
good
교육 기관: Vasileios D S
•2021년 8월 30일
Normally the courses of this specialization are well-structured and, although not very demanding, quite complete and self-contained, but in this case the content covered didn't go deep enough and there was very little insight provided into the principle of RNNs and specifically LTSMs, other than pointing to other lectures.
Also, while sentiment recognition seemed to be an interesting and promising field, the results of all attempts at text generation were so laughable that it made me wonder as to why was half the course devoted to it instead of some other application area of NLP
교육 기관: Li P Z
•2020년 2월 29일
Very disappointed in this course. Instructor seems to have limited understanding of how sequence models and word embeddings work, or is unable to communicate the ideas in his teaching. Explanation for the theory is limited, and he has difficulty tying theory to the TensorFlow framework. Not sure why you would begin teaching sequence models with LSTM blocks combined with standard NN, way too complex structure. Instructor doesn't talk about why sequence models are important and useful in the first place. Very very poor.
교육 기관: Mohamed A S
•2020년 4월 8일
Instead of taking this course, I could've read the tutorials on the TensorFlow site. Those tutorials are regularly updated, maintained, much more detailed and they're FREE.
This course, along the other courses in this specialization are not good for other than exposition to the TF API. Actually, they're not even good at that because the TF tutorials do a much better job at that.
And it's so frustrating that over-fitting is never tackled in any way and not even a hint at how to solve it is even given.
교육 기관: Sebastian F
•2019년 8월 9일
This was by far the hardest course on the sequence. I actually skip it and did courses on order 1, 2, 4 and now 3.
* Notebooks were not as easy to follow. Maybe put more comments on what was expected and describe the datasets a little more.
* There are typos here and there, for instance "The pervious video referred to a colab environment you can practice one. "-> previous.
The file at https://github.com/tensorflow/datasets/blob/master/docs/datasets.md NOT FOUND
교육 기관: Axel G
•2021년 7월 14일
Compared to the first two courses of the IBM specialization, this one is made really bad.
They are rushing through the theory. The programming excercises are only ungraded and not very intuitive to solve. You will almost certainly look at the solutions before getting them to run. If you have a look at the forums of the course, there is not much help to find; it looks as if most people cancel the course before they finish.