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.
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.
By Jian Z•
By Bogdan P•
The course is OK, but it lacks programming exercises
By JETTIBOINA V N D S R P•
Learned new things but the course was boring.......
By Tzushuan W•
Wordy and too abstract without hands on experience.
By Evgeny S•
I would rather expect a course more like a capstone
By Mirko R•
It's been overall useful, but it's not "hard" ML.
By Rishab K•
a assignment could be given along with the theory
By shafkat r•
More programming exercises would have been great
By Beatriz S M•
Very general, I would like to be more specific..
By AKUT J R•
Nice module however some repetition of content!
By Mikhail G•
quite short, would be nice to get some practice
By Paavan G•
Could have included some programming exercises
By Thomas A•
Interesting but not very straight-to-the point
By Marco A L H•
not as fun as the other courses of this series
By Manish S•
Content was not enough to create a new course.
By Edward W•
Expect more hand-on code practice or more quiz
By Allan Y•
Should not be a separate course. Too general.
By Adam S•
Some useful insights but not much depth here.
By Haoran Z•
sometimes, it really hard to hear the voice
By Ankoor B•
Not much coding. Some lectures were rushed.
By Qu S•
By Liam A•
Kinda boring, but still pretty practical.
By Daniel N•
Would have liked to have some exercises.
By Carl E C•
Not enough hands-on (coding) assignments
By Anh N•
The concepts are difficult to understand