WK
Mar 13, 2018
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!
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
By Abhishek S
•Jun 15, 2020
Great course but has been dumbed down too much
By Yue E
•Apr 26, 2019
Esperaba que los ejemplos fueran de otra forma
By Jazz
•Oct 10, 2019
Should add some instruction videos of Keras
By Shanger L
•Jun 4, 2018
does HW created/reviewed by different ones?
By Parikshit D
•May 27, 2018
The assignments are not very satisfactory..
By CLAUDIO G T
•Apr 5, 2020
Not so well explained as the other courses
By Xueying L
•Jul 22, 2018
Too narrow focusing on applications in NLP
By Rahul T
•Aug 9, 2020
Programming exercises was very confusing.
By Ritesh R A
•Feb 2, 2020
Course should have have more descriptive
By Moha F T
•Aug 28, 2021
it's not bad but it's also not perfect
By Alfonso C
•Mar 27, 2023
I found coding exercises not usefull.
By Liang Y
•Feb 10, 2019
Too many errors in the assignments
By guzhenghong
•Nov 17, 2020
The mathematical part is little.
By Julien R
•May 25, 2020
second week was hard to follow
By stdo
•Sep 27, 2019
So many errors need to fix.
By ARUN M
•Feb 6, 2019
very tough for beginners
By Wynne E
•Mar 14, 2018
Keras is a ball-ache.
By Ehsan G
•Sep 10, 2023
Amazing experience
By Monhanmod K
•Mar 17, 2019
too hard
By CARLOS G G
•Jul 26, 2018
good
By Debayan C
•Aug 23, 2019
As a course i think this was way too fast and also way too assumptive. I wish the instructions were a bit slow and we broke down more into designing bilstms and how they work and more simple programming excercises. As a whole i think 1 full week of material is missing from this course which would concentrate on the basic RNN building for GRUs and LSTMs and then move on to applications. I usually do not review these courses and they are pretty standard but this course left me wanting and i will consult youtube and free repos to learn about it better. I did not gain confidence on my understanding. Barely scraped through the assignments after group study and consulting people who know this stuff (which defeats the purpose of this course i believe. It is to enable me with concrete understanding and ability to build these models . It shouldn't lead me to consult others and clear out doubts .)
By Ian B
•Oct 15, 2023
The lectures are pretty good up to Week 4, when the Transformer architecture is thrown at us way too fast. The increase in complexity is abrupt and huge. The programming assignments are far less helpful. I didn't really have to engage with the logic of the various deep learning models involved or understand the bigger picture of how the code works, because the starter code takes care of all that. All I really needed to do was type the obvious functions into the fill-in-the-blanks places, and then fiddle their arguments with trial-and-error until the error messages went away.
By 象道
•Sep 16, 2019
i really learned from this course some ideas on recurrent neural net, but the assignments of this course are not completely ready for learners and are full of mistakes which have existed for more than a year. those mistakes in the assignments mislead learners pretty much if they do not study some discussion threads of the forum. this course has the lowest quality among all of Dr. Andrew Ng's. before the updated versions, a learner had better have a look at the assignments discussion forum before starting the assignments.
By Luke J
•Mar 31, 2021
The material really is great, but work needs to be done to improve the assignments, specifically submission and grading. On the last assignment I spent way more time troubleshooting the grader than the content of the assignment. It can be very frustrating to have to do this on a MOOC where no human support is available. It appears, specifically for this assignment based on discussion that this has been a problem for a very long time.
By Pakpoom S
•Dec 29, 2023
The week1 and 2 are good. I don't understand week 3 in the sense that most of the content is about beam search, but we get no exercise about it. Instead, we get speech data processing. I don't like this. The week4 is worse. I don't even know how to put it in words. I think you simplify things too much. The instructor should put more detail into showing the shape of matrices. I still don't know the output shape of MultiHeadAttention.