I don't think it teaches well. The materials are not organized suitably for beginners.

It would be better to have acess to the notebook of lessons and some explainations

I wished to learn more details about the different types of RNN like GRU or LSTM.

There sh'd be a good description in one course instead of visiting other courses

I think the course is a very basic in the topic. Many details are not explained.

The code should be explained a bit better on the advanced RNN, LSTM examples.

moved very quickly...needed a bit more theory and slower code walk throughs

Comprehensive explanation videos but not enough practical coding exercises.

Course was realli nice.I liked how they focussed on self learning approch.

Surprisingly little material. The ungraded labs are okay but very simple

Compared with the two previous courses I found this one very boring

good overall! but the course materials are maybe too basic...

no graded coding exercises, scope is extremely simplistic

Could've lot of small exercises to understand much better

it would be better to include graded assignments as well

Could be more detailed, lots of doubts are still there.

The sound is very low and I have to strain to hear them

The materials are not up to date to the latest research

some portion of the course content is not interactive.

Feels there where too many concepts not well covered

Short Videos are annoying. Overall content is good.

No graded assignments. No conceptual explanation.

Need more explanations on the RNN models itself.

Please add Coursera assignment based on coding