お疲れ様です。ありがとうございます。

So good progress!

Very good course!

wonderful course！

Very good course,

Enjoyed it a lot!

Excellent Course.

this is great !!

Excellent course

Very good course

Awesome course.

Excellent !!!

great course!

Great course!

Good job!

very good

OMG!!!!!

Awesome

super!

Good!

Amazing course!! This course introduces both classical and deep learning approaches in NLP and discusses the connection between the two. The homework is generally very well designed. The final project requires deployment in production which is a nice experience to have for real world application even though I was hoping for more in-depth model building based on the materials in the tutorials (perhaps this is covered in the honors project). One recommendation is to update the materials to include BERT, ELMO and transformers from the last two years. I know it is difficult to stay up-to-date given how fast the NLP field develops. However, this course provided enough background knowledge to learn those new topics on our own. All in all, very enjoyable learning experience and I am already applying some of the skills in my day job. Thanks so much!!

The course is good. The course is worth taking. However, it is way too dense. There are very complicated concepts explained in too little time with too little context. I would suggest to break down the course into 3-4 courses within a specialization providing more examples, more context, more exercises to fully understand the material.

The final project is a nightmare where multiple different parts (amazon web services, tmux, docker, etc.) have to work all together. Not unexpectedly, a full range of errors, problems, and roadblocks arise when all these different parts have to work together for the project to work.

I finished the course including the final project and I am happy I took this course. However, the final project should have been better thought out before releasing it.

Thank you Anna and all the teaching staff for the course.

This course offers a really good intro to all of the state of the art techniques used in NLP. Its course is structured by heavy impact papers from the literature and the instructors do a really good job in explaining.

The quizzes are good and help you understand the material.

If there is one thing I didn't like in this course, it was the programming assignments. Their structure was really big and aimed really long. Thus, I often felt that I didn't know what I was doing and for what reason. The assignments from Andrew Ng's Deep Learning's Specialization "Sequence Models" course were far better and helped me gain much intuition on how to code real tasks.

It was a good course. All in one breath. I would like to have more practical tasks in which you need to write more code yourself, and not just fill in the missing cells. Of course, I am very grateful to Anna and Andrey for their work. Separately, we would like to note the penultimate task-the final project. It is complex and interesting. I believe that it would be correct to use the computing power of Azure instead of AWS.

Great course !

Learned a lot. Removed one star because I felt they tried to jam too much content into 5weeks which resulted in some content to be rushed and given only a singular question in a quiz. The course would have deserved 1 or 2 more weeks to dilute the content a bit.

However you ll still learn very relevant skills in the assignements and the course provide a lot of links for you to learn more in X or Y subject.