OR
Aug 3, 2019
It was an amazing experience to learn from such great experts in the field and get a complete understanding of all the concepts involved and also get thorough understanding of the programming skills.
MI
Jun 6, 2020
I really enjoyed this course, especially because it combines all different components (DNN, CONV-NET, and RNN) together in one application. I look forward to taking more courses from deeplearning.ai.
By Ruben A M
•Sep 9, 2020
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.
By Erik J J D B
•Jul 19, 2020
Good and easy to follow course to learn tensorflow. You need a background on Machine Learning to fully benefit from this course.
By Jossent
•Feb 12, 2021
It is nice in introduction to the use of TF in time series. But a bit difficult in the code which without detail explanation.
By Mengke M
•Aug 25, 2023
Great introductory course on time series and RNN. But it could benefit from including more depth on RNN and its mechanism.
By Duncan B
•Apr 29, 2021
I think this is a helpful introduction. It would have been helpful to delve into some multivariate sequence data examples.
By Guillermo B
•Apr 2, 2021
It would be great if the projects at the end of each week were graded. They were easily solved using that week lesson.
By Thomas B
•Apr 11, 2020
This is the best course of the specialization. You learn about applying DNN, RNN, LSTM and CNN to time series data.
By laura m
•Sep 4, 2022
Assigned grades were too easy but is it very well made in order to understand how to build modes for time series
By Itamar d P R F
•Jul 20, 2020
Great Course, enlights you were you should head. Although, it missed some further explanation of the steps used.
By Lorenzo N
•Jan 20, 2022
Great course! It would have been nice to teach something about multivariate time series forecasting as well
By Nikhil K
•Jul 8, 2020
Have to complete Andrew Ng's Deeplearning as this is very basic course on top of that for time series data.
By Advay M
•Nov 17, 2020
add more videos to clear deep understanding of time series and more graded practical assignments too...
By Muthu R P E
•Dec 11, 2019
Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.
By AasaiAlangaram
•Dec 13, 2019
Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.
By Ankur Y
•Mar 13, 2020
There should have been a multivariate Time series example in this course, Otherwise it was great
By Michalis F
•Oct 1, 2019
overall good... but was expecting a bit more of it , being the last course in the specialization
By Manish G
•Aug 22, 2019
Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!
By Igor B
•Mar 18, 2020
Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."
By Saeif A
•Aug 24, 2019
I wish there was graded assignment as the quizzes are shallow and not enough to practice.
By Javier A
•Sep 30, 2020
I would add some code assestments and challenges as requested for the previous courses.
By akshay s
•Jan 25, 2020
This is just univariate time series . You should also teach multivariate time series.
By Rajesh T (
•Jan 12, 2020
need to be more advanced, with realistic data and problems. Do not use textbook data.
By Alice M
•Dec 8, 2019
expand on why you choose certain code. add more references for learning python better
By Bobby J
•Sep 1, 2020
Nice practical course. However, it doesn't cover multivariate time series prediction
By Eric J
•Oct 12, 2021
Weekly Examens should be harder, but the "learning" content is typically perfect!