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.

课程虽然很短，只有三周的课程，但难度明显比之前四门课程要大，编程练习一共有7个，第一周的三个是最难的。但仍然是最优秀的深度学习课程。

Well explained, I feel like it could go a bit more in depth though

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

The good course as the theoretical basis for RNN and other models

Attention Models is not that clear. Everything else is excellent.

Excellent lectures. Some programming exercises need more clarity.

Very hard, but not your fault, very good course ! Thank you !!!!

Exercises have less quality than the ones in previous courses.