Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.

Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.

Great course ! However, there are several errors in the project assignments and it has been delayed for two months.

I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.

The update and correction of error should be more effectively and actively managed. That's the only error so far.

It's not as good as neural networks and deep learning course and some topics are confused me but at all is good

Everything is good, except the last week's material needs more explanation to avoid confusion and frustration.

The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.

Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

The project of transformer network is a little bit difficult to work with. But the lectures are very well.

the course is very comprehensive however more details about how backpropagation is done would be great !!!

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

Keras exercises tough to get through based on provided information, but the content was superb as always

Really good course. Exercises are not always connected to the core of the deep learning problem though..

The course is great , in the assignments it is better to stick to single package and TF is preferable.

Highly recommended course to understand the concept of speech recognition models, very real use cases.

Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.