Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).

Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.

The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.

Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!

Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.

Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course

Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.

Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.

There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.

Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.

Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.

I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!

Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much

assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.

Good introduction to RNNs, text/music generation, NLP etc.

Very comprehensible for intermediates and even beginners in ML.

The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.