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.
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!).
by Peter E•
Too theoretical. It would be good to have some practical (programming) assignments here as well.
by Mohamed E•
Not much to learn in this course, basic recommendations can be condensed in one or two lectures
by Jordi T A•
A lot of the content seemed redundant both within the lectures and with the previous courses
by Clement K•
Interesting but redundant. It's not worth an entire course, even if it's only two weeks
by Péter D•
long videos saying actually very little ... disappointment
by Andrey L•
Quite boring and not so interactive like the first course
by harsh s•
good but more theoretical course rather than pratical
by Kaarthik S•
this is the boring course in the specialization
by Thomas A•
Can be better, but there's way too much fluff
by Till R•
Some things are best learned from experience.
by Subhadeep R•
Frankly I didn't find this to be very useful.
by Hernan F D•
There is no a lot of content in this course
by Aloys N•
Missing a bit of practical Python exercises
by Ofer G•
Pretty basic and not enough practical
by 2k19ec173 s•
please work on the audio quality
by Agniteja M•
Useful only for beginners
by Chaobin Y•
Too little materials.
by Gerrit V•
Much too slow
by Zeyi W•
by Christof H•
by 태윤 김•
by NATHAN W•
extremely overgeneralized with no information on how to apply any of these concepts to an industry application. No manufacturing facility birdwatches as a source of income.
by Sergey A•
Extremely boring course without any practice. All the topics explained could be summarized on a dozen of pages which are obviously much easier and faster to read.
by Gianluca M•
What is this doing here? Just useless. No science, only insights that would be valuable were they not already given in the other courses of the specialization.