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.

A little bit harder but definitely it is very intuitive but it also requires to shed more knowledge on the practical aspects.

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.

this course seemed glitchy compared to previous courses. some multi-answer quiz questions would only allow one answer, etc.

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!

Great course conceptually, my only drawback is that the assignments should be different for experienced PYthon programmers

thank you so much for the material. pls do something with assignment of week4 to make it more constructive than confusive.

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.

A little much in not so much amount of time. Could have had more videos. Otherwise great course and great course material

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

Very comprehensible for intermediates and even beginners in ML.

the programming assignments to the last week, transformers are different than all others with a bit little explanations.

Found the embeddings lectures & transformers lectures to be a bit confusing and could give a little bit more explanation

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