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.

The course had an advanced content and was taught at a good pace. Though there are some concepts which were not elaborated and needed to be understood from different sources.

This is basic to advanced level course. you should have significant amount of knowledge in the field, if not you have to do additional research .Over all good course.

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!

It is a very good course. My only request is related to update the tasks along the course to use Tensorflow 2.0

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.

very hard .must have a lot of prerequisites

Nice introduction and very practical

Good but some content felt rushed

Nice course for leaning NLP! :)

good

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

Theoritical explanation was good but we expect practical explanation

The lectures were fine (content wise) even though a little challenging to comprehend, but programming assignments are completely outrageous. Unlike in specializations from other universities where you can check the quality of your code in every step of assignment (e.g. make sure input/output shapes are correct, datatype is optimal etc.), here they just give you a large notebook with few missing lines which you have to fill and if something's not working - good luck figuring all out completely on your own. Staff was irresponsive and not helpful. Therefore I will have to unenroll.

This is a very good course, brought with clarity and humour, and excellent quizzes and assignments to assess your understanding of the material. The big problem it has is the final project, which requires you to run a piece of software on an AWS free tier server. An impossibility, because the software requires more memory than Amazon offers in its free tier. Moreover, as it crashes every few hours, peer reviewers can find it not working and have to contact you to restart it. Constant monitoring for several days is required.

There was a lot of emphasis on mugging up formulae instead of visually explaining how they work. Even the Tensorflow exercises felt pretty convoluted. Circa 2020, there are many better ways to write the same TF code in a very legible and easy to understand way. This course needs a major refresh.

NLP ist very interesting.

BUT this course is a pain.

Material is from 2017, partly in Russian,

sometimes not working or need enormous time invest to make it running.