Deep Learning in Computer Vision, National Research University Higher School of Economics
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Principales revisiones
por SJ
•Jun 12, 2018
Excellent course! Quiz questions are conceptual and challenging and assignments are pretty rigorous and 100% practical application oriented.
22 revisiones
por Rachepalli Rajeev Reddy
•Apr 19, 2019
Don't just read what's written on the projector. Try explaining it. And explain with code.
por Nandini
•Apr 19, 2019
It was good
por Rohit Arya
•Apr 13, 2019
The instructor is not explaining anything. Just reading off the slides. Given two stars only for assignments.
por Arnaud Roussel
•Apr 10, 2019
Some good and challenging assignements but overall the material is delivered poorly. Slides/Videos are rushed through, quizzes are messy and there is barely any help given. I was excited to do the course as a followup from deeplearning.ai but it ended being a chore. I still learned useful skills and concepts overall but be warned.
por juehuan liu
•Apr 07, 2019
Some lectures are just reading the teleprompter！
por William
•Mar 31, 2019
The task is really practical and useful, but the courses content is too general and I hope for the future it could include some papers reading assignment
por Liu
•Mar 03, 2019
no lecture slides, the lecturer cannot elaborate his point clearly (or he doesn't want to), the projects seems ok, but they also are in lack of hints for me to gain progress
por Milos Vlainic
•Feb 28, 2019
Computer vision is far the most difficult AI application, and for this the best course should be done to make ti clear. However, here we had awful lecturers (they are reading as robot!) and "hints" are often misleading or wrong... I gave 2 stars only because assignments were nicely connected, but that is all.
Message to the "AML-bosses": this course should not be in this specialization!!!
por 李朝辉
•Dec 14, 2018
the descriptions of homeworks are sometimes ambiguous, students may spend too much time trying to understand. Also, I strongly recommend teachers can interactive with the PPT when lecturing, instead of reading the draft directly.
por Jakub Bartczuk
•Nov 23, 2018
Pros:
-thorough course material
-ambitious and interesting assignments
Cons:
-there isn't ANY assistance from the instructors or the TA. If you check TAs then you'll see that all of them written 0 posts on the forum.
-most assignments are severely underspecified. This makes them much harder than they should be, and it makes students spend hours on minutiae of preprocessing instead of more important stuff.
