While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
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 Anatolii B•
some quiz questions are poorly formed, a little disappointing.
By Emmanuel D M•
I thini the course needs more quizzess and a program exercise
By C. I•
Very short, not many practical examples. Lots of repetitions.
By W S•
Video lectures tend to be repetitious, and can be confusing.
By Anthony M•
Practical knowledge, but I would prefer more hands on coding
By Jiheng R Z•
Quite a few errors and ambiguities in the practice problems.
The topics are interesting however the content is off par.
By Axel G•
Good content, but very focused on Computer Vision and NLP
By Daniel D•
The course es good, but it seems still under development.
By Juan A C A•
It would be better if you include programming exercises.
By A M•
It was hard to keep interested - lost focus many times
By Brandon C•
lacking in the usual engaging programming assignments
By Varun S•
Was expecting more scenarios for real data experience
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 Eric H•
Very little content. Everything was common sense
By Md. S R F L C•
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