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!

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

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.

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)

Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing

Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...

Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.