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.
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!
por 王煦中
•I give 4 star because some fomulas are not correct! Though this course is really great. I can not understand why you made mistakes on fomulas.
por Rohit T
•This one seemed to go through to quickly over the details especially with the word vectors and the LSTM, would have appreciated more examples
por Joris D
•Very good course, though the assignments towards the end were a little too centered around Keras, which I personally don't care for very much
por Leung P L
•The instruction of using Keras in the programming assignment is unclear. There are many bugs as well, hence we have versions 1, 2 and 3 etc.
por Ruben Y Q
•No time series analysis, and some problems in the guidance of some programming tasks. Mainly de first week, the rest of it was pretty good.
por Jean-Michel C
•Good course. I would suggest to split the first week into 2 weeks, which makes easier to grasp all the concept with a deeper understanding.
por YU Y
•The assignments of this course "Sequence Models" require sufficient knowledge of Keras and Tensorflow, which is not friendly to beginners.
por Dongliang L
•There are some problems in the code of the assignments, as well as the expected outputs, which costs a lot of time for me to figure out.
por Ahmed N
•Very Awesome Course i got knowledge about Sequence to Sequence models and how they works in practical software . Thanks to Prof.Andrew.
por Filippo V
•Exercises' grader didn't accept all the functions correctly, lose much time searching in the discussion.
Too many corrections in the way
por Heinz D
•Great instructor, good and challenging assignments. Thank you!
The grader problem in the Dinosaur Island should be solved once for all.
por Chuanxiao X
•Everything is great except the last assignment - trigger word detection is hard to save and submit, and i can't even open it sometime.
por Tommy S
•Parts of the critical details are a little vague, but the intuition and experience provided are extremely valuable and useful for me!
por Nisar S
•Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).
por Niklas V
•Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization
por Allan C M
•The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.
por Jinfeng X
•The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.
por Marvin J A
•Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!
por Alexander T
•Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.
por raghuveer n
•Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course
por Sudhir K
•Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.
por Vaibhav C
•Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.
por GOURAB G R
•Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.
por Alisa K
•This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.
por Samuel W
•Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.