Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai
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Top-Bewertungen
WK
13. März 2018
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!
JY
29. Okt. 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.
3176 - 3200 von 3,303 Bewertungen für Sequenzmodelle
von Devansh K
•20. Sep. 2020
The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses
von Sandeep P
•27. Juli 2020
Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.
von Rudolf S
•15. Juli 2019
Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.
von SHALEEN A
•3. Okt. 2020
the videos are programming assignments need some serious updates, too many typos and wrong information present
von Maysa M G d M
•25. Juni 2018
I think you have to know more keras than is explained in the course. The keras documentation it is not enough.
von Raghav G
•13. Juli 2020
An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.
von Michael K
•6. Aug. 2018
Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent
von PANKAJ R
•8. Mai 2018
Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3
von Gargi V
•7. Feb. 2020
There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.
von Mikko L
•14. Apr. 2018
Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!
von Shengyu H
•6. Feb. 2020
Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)
von Alexander B
•14. Feb. 2018
incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?
von Jinxi W
•20. Feb. 2018
There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.
von Yao G
•12. Sep. 2018
The assignments should be improved. More prep on Keras will help improve the efficiency of learning.
von Kabakov B
•30. Aug. 2020
The practical tasks is bad. You are simply needed to rewrite formulas to python most of the time.
von Benoit D F
•19. März 2018
Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing
von Andrei M
•18. Juni 2018
The content is super interesting, but the assignments are more of the same 'fill in the blank'.
von Lars O A
•29. Mai 2018
Put to much focus into getting the Keras code to work instead of truly learning the algorithms.
von NAGARAJ R
•23. Jan. 2019
I found this very hard to follow along. The concepts were too heavy and needs a slower pace.
von Anmol D
•21. März 2021
Theory explained in a better way, but practicals could have been more involved and better.
von Sidharth S
•23. Dez. 2018
Really Nice course. Could have been more fun if Keras and it's functioning had more focus.
von Uttam R
•26. März 2018
Course is got but grader compilations are horrible spent more time on them than the course
von Iván G
•13. März 2019
Not as good as structured in explanation nor in programming assigments as the last ones.
von mohsin j
•7. Juni 2018
This is only good enough, not good course. All previous ones were 5 stars, definitely!
von jinwei z
•1. Feb. 2022
the lab and programming is not as intuitive as the first two course in the specilism.
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