Jul 01, 2019
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.
Oct 30, 2018
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.
por Max W•
Sep 07, 2018
The course is great but the tasks in Keras are too complex without background knowledge. Therefore, a reasonable introduction in Keras would be desirable.
por Eymard P•
Jul 31, 2018
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
por Reetu H•
Dec 23, 2019
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.
por Kaupo V•
May 07, 2018
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.
por Leandro A•
Mar 18, 2018
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
por David H P•
Apr 03, 2018
The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.
por Iván V P•
Feb 18, 2018
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 Hang Y•
Aug 24, 2018
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•
May 09, 2018
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 Ankit S•
Jul 17, 2018
Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments
Feb 16, 2018
This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.
por Seng P T P P•
Nov 08, 2019
The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.
por Thomas N•
Mar 09, 2018
Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.
por Søren M•
Feb 16, 2018
Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.
por Rudolf S•
Jul 15, 2019
Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.
por Maysa M G d M•
Jun 25, 2018
I think you have to know more keras than is explained in the course. The keras documentation it is not enough.
por Michael K•
Aug 06, 2018
Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent
por Pankaj R•
May 08, 2018
Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3
por Mikko L•
Apr 14, 2018
Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!
por Alexander B•
Feb 14, 2018
incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?
por Jinxi W•
Feb 20, 2018
There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.
por Yao G•
Sep 12, 2018
The assignments should be improved. More prep on Keras will help improve the efficiency of learning.
por Benoit D F•
Mar 19, 2018
Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing
por Andrei M•
Jun 18, 2018
The content is super interesting, but the assignments are more of the same 'fill in the blank'.
por Lars O A•
May 29, 2018
Put to much focus into getting the Keras code to work instead of truly learning the algorithms.