Awesome notebooks to gain practical experience with deep learning systems.

This course is very interesting! Again! It requires basic Keras knowlegde.

the last week on transformers was confusion both as intuition and process

Course is excellent. Assignment, however, could use some more refinement.

It was really good, but I think I still didn't understand transformers!

It would be good to extend some more detailed explanation in this course

need some reviewing in the optional parts of the programming assignments

Excellent course content, but poor maintenance of programming assignment

Provides good exposure to sequence models for NLP and speech processing.

Instructions for labs are not clear enough, especially the layers part.

Great exercises but videos were slightly rushed. Overall a good course.

Good course. Feel a little bit rushed. Difficult to retain the concepts

The content is great, but the programming exercises are full of errors.

Some techniques for keras need to be clarified. Generally a good course

I liked this particular set of lectures, too, now on to something new.

It required coding on keras and tensorflow not appropriate introduced.

The Course is great! But the programming assignments has too many bugs

it's very difficult to submit last programming exercise "trigger word"

More clarification on what we are doing in the programming exercises

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

Great content but I felt it was bit rushed and squeezed in 3 weeks .

The quality was a bit down but still very worthwhile and interesting

Great practical experience. Would have preferred a bit more theory.

it covered a lot of interesting topics but it was a bit high level.

great course to understand intuition of sequence modeling for NLP.