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!
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 H 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.
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Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.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.
By Michael K•
Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent
By PANKAJ R•
Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3
By Gargi V•
There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.
By Mikko L•
Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!
By Shengyu H•
Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)
By Alexander B•
incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?
By Jinxi W•
There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.