Comentários e feedback de alunos de modelos de sequência da instituição deeplearning.ai
Sobre o curso
Melhores avaliações
WK
13 de mar de 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 de out de 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 de 3,300 Avaliações para o modelos de sequência
por SHALEEN A
•3 de out de 2020
the videos are programming assignments need some serious updates, too many typos and wrong information present
por Maysa M G d M
•25 de jun de 2018
I think you have to know more keras than is explained in the course. The keras documentation it is not enough.
por Raghav G
•13 de jul de 2020
An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.
por Michael K
•6 de ago de 2018
Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent
por PANKAJ R
•8 de mai de 2018
Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3
por Gargi V
•7 de fev de 2020
There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.
por Mikko L
•14 de abr de 2018
Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!
por Shengyu H
•6 de fev de 2020
Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)
por Alexander B
•14 de fev de 2018
incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?
por Jinxi W
•20 de fev de 2018
There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.
por Yao G
•12 de set de 2018
The assignments should be improved. More prep on Keras will help improve the efficiency of learning.
por Kabakov B
•30 de ago de 2020
The practical tasks is bad. You are simply needed to rewrite formulas to python most of the time.
por Benoit D F
•19 de mar de 2018
Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing
por Andrei M
•18 de jun de 2018
The content is super interesting, but the assignments are more of the same 'fill in the blank'.
por Lars O A
•29 de mai de 2018
Put to much focus into getting the Keras code to work instead of truly learning the algorithms.
por NAGARAJ R
•23 de jan de 2019
I found this very hard to follow along. The concepts were too heavy and needs a slower pace.
por Anmol D
•21 de mar de 2021
Theory explained in a better way, but practicals could have been more involved and better.
por Sidharth S
•23 de dez de 2018
Really Nice course. Could have been more fun if Keras and it's functioning had more focus.
por Uttam R
•26 de mar de 2018
Course is got but grader compilations are horrible spent more time on them than the course
por Iván G
•13 de mar de 2019
Not as good as structured in explanation nor in programming assigments as the last ones.
por mohsin j
•7 de jun de 2018
This is only good enough, not good course. All previous ones were 5 stars, definitely!
por jinwei z
•1 de fev de 2022
the lab and programming is not as intuitive as the first two course in the specilism.
por Thomas P
•9 de abr de 2020
Overall a great class. I had some trouble understanding the programming assignments.
por Archana A
•7 de out de 2019
This felt the the least prepared and organized course of the series, unfortunately.
por Sébastien C
•18 de ago de 2020
Good theoretical overview - project just require you to fill in lines of code
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