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!
创建者 Harry T•
Great content, but Andrew often starts his phrases then restarts saying them. Audio could use some cleanup, then this course would be perfect!
创建者 Yunhua J•
Most optional assignments contain bugs/errors. Other than that, this is a great course, just as the 4 other courses in this specialist series.
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.
创建者 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
创建者 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
创建者 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.
创建者 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.
创建者 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.
创建者 YU Y•
The assignments of this course "Sequence Models" require sufficient knowledge of Keras and Tensorflow, which is not friendly to beginners.
创建者 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.
创建者 Ahmed N•
Very Awesome Course i got knowledge about Sequence to Sequence models and how they works in practical software . Thanks to Prof.Andrew.
创建者 Filippo V•
Exercises' grader didn't accept all the functions correctly, lose much time searching in the discussion.
Too many corrections in the way
创建者 Heinz D•
Great instructor, good and challenging assignments. Thank you!
The grader problem in the Dinosaur Island should be solved once for all.
创建者 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.
创建者 Tommy S•
Parts of the critical details are a little vague, but the intuition and experience provided are extremely valuable and useful for me!
创建者 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).
创建者 Niklas V•
Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization
创建者 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.
创建者 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.
创建者 Marvin J A•
Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!
创建者 Alexander T•
Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.
创建者 raghuveer n•
Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course
创建者 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.
创建者 Vaibhav C•
Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.
创建者 GOURAB G R•
Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.