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!
By M S S•
The Attention model still needs more explanation. I haven't completely grasped attention models
By Jon-pierre H•
More errors than most in the projects. Likely due to the rush of getting this final course out
By Lee H H J•
Very good course, informative and easy to follow. Only problem I had is with its auto grader.
By Nojus D•
Really good course but compared to others optional assigments lack instructions in this one.
By Alex F•
My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!
By Phuong-Khanh H•
The course is of high quality. However, it is not as good and clear as the previous courses.
By Wes H•
Content needs a few improvements in quality but otherwise a valuable and instructive course.
By harm l•
Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.
By Osvaldo R•
The practice was more guided than other courses. Felt that the Coursera team did all for me
By Cze H Y•
Perfect course except there are are some mistake/ambiguous instruction in course assignment
Great course. Would like it if he kept his notation consistent with what is in the papers.
By Sven S•
a lot to learn, content is well presented as usual. one of the assignments requires rework
Seem like not as good as before course,Wait so much time but is not clear as course before
By Sarang P•
Trigger word detection assignment notebook has some bugs. Had a hard time submitting it
By Glorian Y•
There are many bugs in the assignment. Else, the material content and videos are great!
By Ryan B•
Really good but I guess you should teach more about how to apply all these models more.
By Zhe C•
Too many errors are in assignments. Also, Some APIs from Keras are not well explained.
By Ankoor B•
The assignment code instructions (specifically the code comments were very confusing).
By Moustafa S•
it was hard to catch up to all the new stuff, but as a first step, it's not that bad.
By Ming M•
I feel the programming assignments should be revised. I have encountered many errors.
By Hector M•
There were a couple of problems with the grader that made this course less enjoyable.
By Javier L P•
Missing the notes in between the videos like in the Intro to Machine Learning course
By Keith l•
some of the auto graders were a bit buggy, but overall loved the course and material
Nice content. Spend some time on homework since I'm not very familiar with keras.
By Yu L•
coding style is out-of-date. Could the TA update the coding homework regularly?