It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
the content is good, but the videos are not well made.
By Shuochen Z•
By Gundreddy L M•
excerice should be given for this one proper user case
By Alexey S•
Good class, but 2 previous are much better and useful.
By Lei C•
the answer of the assignment is a little bit arguable.
By SANJAY P•
Content is good. Presentation could have been better.
By Kumari P•
machine learning project are highly iterative as you.
By diego s•
I miss notebooks for practice, besides questionnaires
By Xinghua J•
If there is some coding practice, it would be better
By Pranjal V•
Very well explained but needs more reading material.
By Hee s K•
It is an unique lecture providing empirical advises.
By Pablo L•
Great set of guidelines. Mostly theoretical, though.
By Cristina G F•
Concrete reminders of important and practical points
By Ktawut T•
Very useful materials for leading a ML research team
By awalin s•
interesting insights about real world implementation
By Yu L•
would like to have more excercise related to coding
By Mage K•
Would've liked to have some programming assignments
Introduced a lot on engineering project experiences
By Marcelo A H•
Very interesting topics were shown in this course.
By William L•
Very useful knowledge that is not commonly taught.
By Alvaro G d P•
Interesting but perhaps we could have gone deeper.
By John H•
Is the flight simulator hw going to be added soon?
By Pat B•
Great course. I liked the compact, 2-week format.
By liu c•
A little bit abstract. But still very inspiring!
By Florian M•
Very interesting tools and ideas for applied ML.