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.
JH
Mar 21, 2020
Really like the focus on practical application and demonstrating the latest capability of TensorFlow. As mentioned in the course, it is a great compliment to Andrew Ng's Deep Learning Specialization.
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!
By MD. N S N
•Sep 17, 2020
If the sound quality is more loud & clear then this course becomes more fantastic.
By Wan N
•Jun 20, 2020
This course is interesting and I have learned a lot of staff. Thank you, Laurence!
By Dr. W G v d S
•Apr 30, 2020
This is a really good introduction into the time series and sequences prediction.