MK
Mar 13, 2024
Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects
JY
Oct 29, 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.
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
By Andrei M
•Jun 18, 2018
The content is super interesting, but the assignments are more of the same 'fill in the blank'.
By Lars O A
•May 29, 2018
Put to much focus into getting the Keras code to work instead of truly learning the algorithms.
By NAGARAJ R
•Jan 23, 2019
I found this very hard to follow along. The concepts were too heavy and needs a slower pace.
By Anmol D
•Mar 21, 2021
Theory explained in a better way, but practicals could have been more involved and better.