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!
The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
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.