FF
Invalid date
This is a very suitable course for those of you who are new to machine learning, because after I took this course my interest in machine learning has increased. especially CNN computer vision.
JH
Invalid date
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 ruben y q
•May 6, 2020
course is good but it dont get deeper on using things like multivariate time series, in addition the course practice materials where kind of lax
By Jesse
•Aug 12, 2019
A little bit too simple cuz it only covers univariate time series practice. Would be better if there's more multivariate time series exercise.
By Dan R
•May 13, 2020
I was really waiting to predict 100 data that was similar to sequence, that being said; this was a good introduction to time series analysis.
By Kartik P
•Oct 5, 2020
its a nice course but instead of using synthetic data, it would have been better if we use real-time datasets for our practice and learning.
By AMAN G
•May 26, 2020
The programming exercise should not have been optional. But overall, this was an amazing course. A thumbs up from my side. Thanks a lot.
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 Man L
•Jun 9, 2024
i think this course is better structured and more updated vs the IBM AI Engineering Professional Certificate.
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.