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 analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
автор: W S•
Video lectures tend to be repetitious, and can be confusing.
автор: Anthony M•
Practical knowledge, but I would prefer more hands on coding
автор: Jiheng R Z•
Quite a few errors and ambiguities in the practice problems.
The topics are interesting however the content is off par.
автор: Axel G•
Good content, but very focused on Computer Vision and NLP
автор: Daniel D•
The course es good, but it seems still under development.
автор: Juan A C A•
It would be better if you include programming exercises.
автор: Abdullah M•
It was hard to keep interested - lost focus many times
автор: Brandon C•
lacking in the usual engaging programming assignments
автор: Varun S•
Was expecting more scenarios for real data experience
автор: Jian Z•
автор: Bogdan P•
The course is OK, but it lacks programming exercises
автор: JETTIBOINA V N D S R P•
Learned new things but the course was boring.......
автор: Tzushuan W•
Wordy and too abstract without hands on experience.
автор: Evgeny S•
I would rather expect a course more like a capstone
автор: Mirko R•
It's been overall useful, but it's not "hard" ML.
автор: Rishab K•
a assignment could be given along with the theory
автор: shafkat r•
More programming exercises would have been great
автор: Beatriz S M•
Very general, I would like to be more specific..
автор: AKUT J R•
Nice module however some repetition of content!
автор: Mikhail G•
quite short, would be nice to get some practice
автор: Paavan G•
Could have included some programming exercises
автор: Thomas A•
Interesting but not very straight-to-the point
автор: Marco A L H•
not as fun as the other courses of this series
автор: Manish S•
Content was not enough to create a new course.