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.
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!
创建者 Fernando A G
•I enjoyed all the courses, from my personal point of view this course was not that fun as the other courses. Except for the trigger assignment it was awesome!
创建者 Zhao H
•Too much was given in external python code for the first week's assignment (that should be learnt by us): not a good thing for us to gain a good understanding
创建者 Matias A
•Worst course of the specialization, content is interesting and Andrew keeps explaining really well but programming assignments are clearly of a lower quality
创建者 Max W
•The course is great but the tasks in Keras are too complex without background knowledge. Therefore, a reasonable introduction in Keras would be desirable.
创建者 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
创建者 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.
创建者 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.
创建者 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
创建者 David H P
•The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.
创建者 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...
创建者 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.
创建者 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.
创建者 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.
创建者 Roberto S
•Week 1 took double time to be completed. Times proposed for the assingnement are underestimated.
Please readjust the assingement time.
创建者 Ankit S
•Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments
创建者 Nachiketa M
•This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.
创建者 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.
创建者 Seng P T P P
•The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.
创建者 Thomas N
•Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.
创建者 Vinjosh V
•The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.
创建者 Søren M
•Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.
创建者 Laurent B
•Only on NLP applications, it would have been great to apply GRU or LSTM on numerical data like finance for example.
创建者 Devansh K
•The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses
创建者 Sandeep P
•Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.
创建者 Rudolf S
•Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.