GS
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So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.
WK
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I was really happy because I could learn deep learning from Andrew Ng.
The lectures were fantastic and amazing.
I was able to catch really important concepts of sequence models.
Thanks a lot!
By 1140325971
•Jan 23, 2020
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
•Nov 8, 2019
The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.
By Thomas N
•Mar 9, 2018
Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.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
•May 11, 2020
The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.
By shreya g
•Oct 1, 2021
The assignments need better instructions and there is a huge jump in complexity when going from lectures to assignments.
By 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.
By Philip P
•Apr 26, 2023
Last week's course about transformers was extremely rushed to the point I wasn't even able to get a solid intuition
By Laurent B
•Jan 12, 2021
Only on NLP applications, it would have been great to apply GRU or LSTM on numerical data like finance for example.
By Devansh K
•Sep 20, 2020
The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses
By Sandeep P
•Jul 27, 2020
Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.
By 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.
By SHALEEN A
•Oct 3, 2020
the videos are programming assignments need some serious updates, too many typos and wrong information present
By 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.
By Raghav G
•Jul 13, 2020
An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.
By Michael K
•Aug 6, 2018
Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent
By PANKAJ R
•May 8, 2018
Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3
By Gargi V
•Feb 7, 2020
There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.
By Mikko L
•Apr 14, 2018
Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!
By kumom
•Feb 6, 2020
Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)
By Alexander B
•Feb 14, 2018
incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?
By Jinxi W
•Feb 20, 2018
There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.
By Yao G
•Sep 12, 2018
The assignments should be improved. More prep on Keras will help improve the efficiency of learning.
By Kabakov B
•Aug 30, 2020
The practical tasks is bad. You are simply needed to rewrite formulas to python most of the time.
By Benoit D F
•Mar 19, 2018
Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing
By Joao C M
•Sep 29, 2023
Very good content but several Python exercises were far-fetched for the novice Python programmer