OR
3 авг. 2019 г.
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
6 июня 2020 г.
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.
автор: winniefred m b
•23 мая 2021 г.
taking this course was undoubtedly a better idea than endless scans over tensorflow documentation and other books. I am glad I got to do this course, wish I had taken this up earlier
автор: Hyungmin S
•19 июля 2020 г.
I wish there were more detail explanation about hyper-parameter tuning when we define NN Models.
other than that, this course was great and gave me lot of insights. Thank you.
автор: Yongqing X
•26 сент. 2020 г.
I'd like to learn more about algorithmic principle(Although some Andrew‘s class link is attached. )why not explain the principle combined with the real example
автор: CM
•19 авг. 2019 г.
Wish there were graded programming exercises. The quizzes has questions not relevant to the goal of the lesson ex What is the seasonality of sunspots.
автор: Saikat M
•16 мая 2020 г.
New techniques were learnt regarding how to create a time-series signal and how they can be manipulated for forcasting and feeding to DNN networks.
автор: Parth A
•11 авг. 2019 г.
A good intro course to time series prediction. Would have loved some more data analysis and other time series methods like ARIMA and seasonal ARIMA
автор: ruben y q
•6 мая 2020 г.
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
автор: Jesse
•12 авг. 2019 г.
A little bit too simple cuz it only covers univariate time series practice. Would be better if there's more multivariate time series exercise.
автор: Dan R
•13 мая 2020 г.
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.
автор: Kartik P
•5 окт. 2020 г.
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.
автор: AMAN G
•26 мая 2020 г.
The programming exercise should not have been optional. But overall, this was an amazing course. A thumbs up from my side. Thanks a lot.
автор: Ruben A M
•9 сент. 2020 г.
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.
автор: Erik J J D B
•19 июля 2020 г.
Good and easy to follow course to learn tensorflow. You need a background on Machine Learning to fully benefit from this course.
автор: DING T K
•12 февр. 2021 г.
It is nice in introduction to the use of TF in time series. But a bit difficult in the code which without detail explanation.
автор: Duncan B
•29 апр. 2021 г.
I think this is a helpful introduction. It would have been helpful to delve into some multivariate sequence data examples.
автор: Guillermo B
•2 апр. 2021 г.
It would be great if the projects at the end of each week were graded. They were easily solved using that week lesson.
автор: Thomas B
•11 апр. 2020 г.
This is the best course of the specialization. You learn about applying DNN, RNN, LSTM and CNN to time series data.
автор: Laura M d A M
•4 сент. 2022 г.
Assigned grades were too easy but is it very well made in order to understand how to build modes for time series
автор: Itamar d P R F
•20 июля 2020 г.
Great Course, enlights you were you should head. Although, it missed some further explanation of the steps used.
автор: Lorenzo N
•20 янв. 2022 г.
Great course! It would have been nice to teach something about multivariate time series forecasting as well
автор: Nikhil K
•8 июля 2020 г.
Have to complete Andrew Ng's Deeplearning as this is very basic course on top of that for time series data.
автор: Advay M
•17 нояб. 2020 г.
add more videos to clear deep understanding of time series and more graded practical assignments too...
автор: Muthu R P E
•11 дек. 2019 г.
Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.