The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.
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.
por David H P•
The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.
por 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...
por 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.
por 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.
por 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.
por Roberto S•
Week 1 took double time to be completed. Times proposed for the assingnement are underestimated.
Please readjust the assingement time.
por Ankit S•
Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments
por 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.
por Seng P T P P•
The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.
por Thomas N•
Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.
por Vinjosh V•
The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.
por shreya g•
The assignments need better instructions and there is a huge jump in complexity when going from lectures to assignments.
por Søren M•
Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.
por Laurent B•
Only on NLP applications, it would have been great to apply GRU or LSTM on numerical data like finance for example.
por Devansh K•
The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses
por Sandeep P•
Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.
por Rudolf S•
Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.
por SHALEEN A•
the videos are programming assignments need some serious updates, too many typos and wrong information present
por 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.
por Raghav G•
An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.
por Mikey K•
Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent
por PANKAJ R•
Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3
por Gargi V•
There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.
por Mikko L•
Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!