The programming exercise should not have been optional. But overall, this was an amazing course. A thumbs up from my side. Thanks a lot.

A lot of typos and I felt that making the Graded Exercises instead of Non Graded is a much better experience for us the students.

Good and easy to follow course to learn tensorflow. You need a background on Machine Learning to fully benefit from this course.

It is nice in introduction to the use of TF in time series. But a bit difficult in the code which without detail explanation.

I think this is a helpful introduction. It would have been helpful to delve into some multivariate sequence data examples.

It would be great if the projects at the end of each week were graded. They were easily solved using that week lesson.

This is the best course of the specialization. You learn about applying DNN, RNN, LSTM and CNN to time series data.

Great Course, enlights you were you should head. Although, it missed some further explanation of the steps used.

G​reat course! It would have been nice to teach something about multivariate time series forecasting as well

Have to complete Andrew Ng's Deeplearning as this is very basic course on top of that for time series data.

add more videos to clear deep understanding of time series and more graded practical assignments too...

Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.

Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.

There should have been a multivariate Time series example in this course, Otherwise it was great

overall good... but was expecting a bit more of it , being the last course in the specialization

Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!

Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."

I wish there was graded assignment as the quizzes are shallow and not enough to practice.

I would add some code assestments and challenges as requested for the previous courses.

This is just univariate time series . You should also teach multivariate time series.

need to be more advanced, with realistic data and problems. Do not use textbook data.

expand on why you choose certain code. add more references for learning python better

Nice practical course. However, it doesn't cover multivariate time series prediction

W​eekly Examens should be harder, but the "learning" content is typically perfect!

If the sound quality is more loud & clear then this course becomes more fantastic.