Learner Reviews & Feedback for Sequence Models by DeepLearning.AI
About the Course
Top reviews
The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!
2926 - 2950 of 3,060 Reviews for Sequence Models
By Eymard P
•Far less detailed than the other ones. The programming assignements are less interesting too, as a great part of the work consist of reading documentation
By Reetu H
•There were lot of bugs in the assignments taking up lot of time to fix. The course was okay, I liked the other courses in the specialization more.
By Kaupo V
•The Keras programming exercises are quite weak. Please re-think how to teach them more systematically. Currently it is quite a lot of hit and miss.
By Assa E
•That was much harder than the previous courses of the specialization. However it felt like the videos are more hasty and less understoodable
By Leandro A
•There was a bug in a programming assignment notebook that took too much time to notice that i was doing ok but the expected ouptut was wrong
By David H P
•The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.
By Iván V P
•Several grader issues, only 3 weeks of work, and a lot of errors in the solutions... In addition, less content than in the other courses...
By Rishabh G
•The earlier courses were easy to understand, however, this was way too difficult. Andrew Ng did not make this easy like the other courses.
By Hang Y
•Compared with previous courses, this one seems to be rushed. The focus on applications seems to be much higher than the theoretic side.
By Yash R S
•Not as great as the other courses in the specialisation. The assignments can be a little off putting, but lectures are top class again.
By Roberto S
•Week 1 took double time to be completed. Times proposed for the assingnement are underestimated.
Please readjust the assingement time.
By Ankit S
•Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments
By Nachiketa M
•This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.
By 1140325971
•The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.
By Seng P T P P
•The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.
By Thomas N
•Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.
By Vinjosh V
•The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.
By Søren M
•Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.
By Laurent B
•Only on NLP applications, it would have been great to apply GRU or LSTM on numerical data like finance for example.
By Devansh K
•The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses
By Sandeep P
•Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.
By Rudolf S
•Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.
By SHALEEN A
•the videos are programming assignments need some serious updates, too many typos and wrong information present
By Maysa M G d M
•I think you have to know more keras than is explained in the course. The keras documentation it is not enough.
By Raghav G
•An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.
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