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.
21 мар. 2020 г.
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.
13 дек. 2019 г.
Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.
автор: Ankur Y•
13 мар. 2020 г.
There should have been a multivariate Time series example in this course, Otherwise it was great
автор: Michalis F•
1 окт. 2019 г.
overall good... but was expecting a bit more of it , being the last course in the specialization
автор: Manish G•
22 авг. 2019 г.
Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!
автор: Igor B•
18 мар. 2020 г.
Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."
автор: Saeif A•
24 авг. 2019 г.
I wish there was graded assignment as the quizzes are shallow and not enough to practice.
автор: Javier A•
30 сент. 2020 г.
I would add some code assestments and challenges as requested for the previous courses.
автор: akshay s•
25 янв. 2020 г.
This is just univariate time series . You should also teach multivariate time series.
автор: rajesh t•
12 янв. 2020 г.
need to be more advanced, with realistic data and problems. Do not use textbook data.
автор: Alice M•
8 дек. 2019 г.
expand on why you choose certain code. add more references for learning python better
автор: Bobby J•
1 сент. 2020 г.
Nice practical course. However, it doesn't cover multivariate time series prediction
автор: Eric J•
12 окт. 2021 г.
Weekly Examens should be harder, but the "learning" content is typically perfect!
автор: MD. N S N•
17 сент. 2020 г.
If the sound quality is more loud & clear then this course becomes more fantastic.
автор: Wan N•
20 июня 2020 г.
This course is interesting and I have learned a lot of staff. Thank you, Laurence!
автор: Dr. W G v d S•
30 апр. 2020 г.
This is a really good introduction into the time series and sequences prediction.
автор: Neel A•
31 авг. 2020 г.
The optional exercises should be graded, it was fun there, rather than the quiz!
автор: Md S H C•
17 авг. 2020 г.
Overall a good course. Would be a 5-star if there were some graded assignments.
автор: Azazul I•
24 авг. 2020 г.
graded programming assignments and variation in examples should be imported.
автор: Abhishek M•
19 июля 2020 г.
Great course!! However, there are some question that were left unanswered.
автор: Rob S•
4 сент. 2020 г.
Probably the toughest course that could have done with more explanation.
автор: Sai K K K•
11 янв. 2020 г.
Concepts and Importance of Fine tuning the parameters well explained!!
автор: Pak S H•
30 авг. 2019 г.
It will be better if there is also a multivariate time series example.
автор: Hemali R•
23 авг. 2020 г.
Very good! Good if you showed us how to work with our own data set
автор: Mukul A•
7 июля 2020 г.
A few bugs present, but overall a good a course and specialization
автор: Gerardo S•
2 дек. 2020 г.
I would have liked if they were more explicit about window sizing