There were basic introduction as for me, without almost any proofs and mathematical constructions. It was interesting but after this course actually I can't say that now I can do it from the beginning to end for myself, only some functions to include in existing code. Last instruction about AWS was terrible! There were too many questions about it!!!!

Great course but not easy one.. You must have required knowledge..

You need extra effort to finish quizzes or assignments, and also search in forum discussion or internet..

I think, the lectures are too theoretical, but that's good if you are curious or researchers that need to know about state of the art related NLP..

Overall this is worthy to take..

Overall great intro to NLP. Basic techniques like word embeddings and attention are explained quite well. However, some topics are not really easy to remember from this course, such as Topic modeling using LDA (which I understood much deeper during Bayesian Methods for Machine Learning course from the same specialization).

I think the provided material needs to be updated. Specially the material concerning TensorFlow. Many subjects and assignments let us wondering too much because it because there is a mismatch between the theoretical and the practical, and because the TensorFlow isn't updated it was hard to find additional help online.

It's a very nice course! It involves so many aspects in NLP, and the assignments are especially valuable. The only thing I'm not satisfied is that it lacks enough help from the material and the forum when I got a bug from my assignments or confused by the instruction.

Very good course!! A big thanks to all the instructors. However I feel the course covered a lot of stuff which affected its focus. May be it would have been better to focus on fewer techniques but in greater detail both in theory and assignments.

Nice course. However, trying to pass the assignments can sometimes feel like a nightmare, because there is no feedback from the grader that would lead you into the right direction. Luckily you can get useful information in the discussion forum.

I would recommend the mention of the library version in each given code to avoid the wrong use of the arguments and even attributes. For instance tf 2.0 do not have contrib and yet in certain part of the code, we are "required" to use that.

Anna and group is great at teaching. However, a lot of graded assignments were a lot ambiguous with many important details missing. It would be a lot more helpful, if the content needed for assignment is explicitly mentioned! Thank you!

The course is very nice. I wish there were some more examples in slides to understand the working of algorithms. Maybe its advance that's why I felt it.

If notes of every week were available then it would have been very beneficial.

explanation on Fundamentals are good.. it would be better if models and methods are explained by applying them to some real time examples.

The course was great. Perhaps it'd be nice to combine the lower level with some higher level Deep Learning framework at the end. Thanks!

Time estimated for assignments is well below the actual time taken to complete them.

I learned a lot. The tasks are challenging, but somehow manageable. Thanks!

Excellent Course on NLP. Need more focus on RNN/CNN/Sequence modelling

It has less content on abstractive summarization.

Nice introduction and very practical

Good but some content felt rushed

Nice course for leaning NLP! :)

good

The content covers a lot of aspects of NLP but fails to deliver it in a comprehensive and detailed manner. Lectures are not that engaging.

This course is good if you want to get familiar with different methods/tasks in NLP and then supplement that with external readings.

This was a good class, and I want to give it more stars, but the default path for completing the final project requires far more time than the course specifies, making it difficult to properly manage one's time.

The course material overall is good. However, the assignments are not very beneficial from my point of view.

The peer review is totally a mess -no one really review an assignment-

Good information, but I am struggling understanding the presenter. The course feels a bit forced.

Good and useful content but weak quality in providing directions in assignments and zero help