Learner Reviews & Feedback for Sequences, Time Series and Prediction by DeepLearning.AI
About the Course
Top reviews
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.
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.
476 - 500 of 609 Reviews for Sequences, Time Series and Prediction
By Dan R
•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
•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
•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
•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
•Good and easy to follow course to learn tensorflow. You need a background on Machine Learning to fully benefit from this course.
By DING T K
•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 Guillermo B
•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
•This is the best course of the specialization. You learn about applying DNN, RNN, LSTM and CNN to time series data.
By Itamar R
•Great Course, enlights you were you should head. Although, it missed some further explanation of the steps used.
By Nikhil K
•Have to complete Andrew Ng's Deeplearning as this is very basic course on top of that for time series data.
By Advay M
•add more videos to clear deep understanding of time series and more graded practical assignments too...
By Muthu R P E
•Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.
By AasaiAlangaram
•Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.
By Ankur Y
•There should have been a multivariate Time series example in this course, Otherwise it was great
By Michalis F
•overall good... but was expecting a bit more of it , being the last course in the specialization
By Manish G
•Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!
By Igor B
•Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."
By Saeif A
•I wish there was graded assignment as the quizzes are shallow and not enough to practice.
By Javier A
•I would add some code assestments and challenges as requested for the previous courses.
By Akshay s
•This is just univariate time series . You should also teach multivariate time series.
By rajesh t
•need to be more advanced, with realistic data and problems. Do not use textbook data.
By Alice M
•expand on why you choose certain code. add more references for learning python better
By Bobby J
•Nice practical course. However, it doesn't cover multivariate time series prediction
By MD. N S N
•If the sound quality is more loud & clear then this course becomes more fantastic.
By Wan N
•This course is interesting and I have learned a lot of staff. Thank you, Laurence!
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