Examinations are deliberately confusing. Leading to lot of frustration. Nowhere in the course did we call the model to get v1, v2 .. and suddenly in the exam no instruction was given on how to call it either. The reading material doesn't cover some things that are shown in the video, leading to further confusion.

Material was good, but the assignments were too hand-holding. We were told what to do on every step of the algorithm. I think it's better to give an almost empty signature function and describe what we should create for that function (input/output) so we can gain more understanding

This course is good but it is too short in my opinion. It is sometimes hard to wrap your head around some concepts that are describe in a 5 minute video. I think this course should have more video lectures with a more detailed (step by step) explanations.

The topics are definitely advanced however the content is very basic and is meant for beginners if I am not wrong. If one is 'starting' to learn to apply deep learning via trax to sequence models, then this is the best course for that goal.

This is my third specialization course from DeepLearning.AI. Only this third course of NLP I find some how dull. In all other courses I was enjoying by learning. So I rated 5/5 all other courses. Overall thank you so much the whole team.

This course just scratches the surface. Also the asignments, where you should just fill out the None's, don't help practice the topics too much. One can use these cources as a starting point for further learning.

Hardest to date at Coursera! Challenging and interesting! Love it! I am a pytorch person, not a Tensorflow person, which also added some... complexities!

Content is great but, it's annoying that I take the time to write up the errors in the assignment, and it feels like they don't get corrected.

It was a bit repetitive of the 'Sequence Model' course from the Deep Learning specialization, only with the exception of implementing in TRAX.

Assignments are good. Can we have these using pytorch. Or better: Can a person choose his own language and build entire code on that !!

Great course, although would have been better if assignments were implemented in Keras or PyTorch. Otherwise, definitely worth it!

Great information, but some of the assignments had errors and there weren't many interactions from the TAs on the Slack or Forum

Great course! I would have liked Keras/TensorFlow 2.x or Pytorch to be used instead of Trax which is not as frequently used.

Interesting and well explained altough assignment excercise are difficult to understand and they are just focus on Trax

The clarity of exposition was superb! 1 star less for using TRAX. I would have rathered to use Keras or Tensorflow.

We might have included little bit more details on dimensions of the inputs and outputs of the Sequence models.

The course is very good, but its not complete in itself. The way course was taken and everything is good.

Overall the content was great. Please make sure that errors in the notebooks are corrected.

The course is designed quite well to boost understanding of Sequence Models in great depth

Excellent course, but probably worth doing the deep learning specialisation first!

I dont like to use TRAX. If it is using tensorflow, then I will give 5 stars

I prefer that the lecturer using TensorFlow instead of Trax for exercises

I think it'd be better if keras/tensorflow will be used instead of trax

Almost perfect. More Explanation in implementation is needed.

Good information, but some assignments were an embarrassment.