31 de ene. de 2021
This course was truly amazing. It was challenging and I learned a lot of cool stuff. It would have been better if more animations were included in explaining complex concepts and equations.
31 de mar. de 2018
Outstanding Course! I could always count on Prof.Jianbo to crunch some of the most complex and confusing parts of the course into a much easier understandable language.
por Timothy M•
9 de jul. de 2017
some interesting material. The Slides for week 2 and 4 are terrible, too condensed with very little explanation on difficult topics. The Homeworks are pretty interesting, the assignments for week 3 and 4 complement eachother very well. the week 2 Kalman filter assignment didn't seem to work. I submitted something in frustration and was very surprised that it was accepted.
por Volodymyr K•
15 de jun. de 2016
I really loved the dense collection of relevant information, this course is a great introduction to computer vision-related algorithms.
Unfortunately the lecture videos are poorly edited and subtitles are inaccurate, however the slides are quite good and verbose enough to understand every topic.
Assignments are quite good, however formula derivation explanations could be better.
2 de jul. de 2019
It's a nice introduction, but a lot of details are not well explained. A lot of typos in homework, epecially in Equations. This is very bad for UX. And few of mentors are maintaining this course. If you ask questions in forum, you can not get repsonse quickly. I suggest that mentors should spend some time to correct typos and upload some supplement materials.
por Pranav K•
15 de ago. de 2020
The content in the course and the expanse of knowledge covered is excellent. I would suggest that course be more organized in terms of terminology and usage of symbols. It does take time, but using different notations while explaining the same concepts causes confusion, at least during the learning phase. Overall a great course.
3 de may. de 2018
The content is undoubtedly valuable and instructive, but for some topics in week 3 & 4 the content isn't organized in a good order. Most importantly, no one answers my questions in the forum, and I felt helpless when the lecturer and slides fail to clearly explain some complex concepts.
por Rahul H•
28 de dic. de 2021
The course had a lot of useful content and a lot of information. Although the presentation was not that good. The slides could have used more of text, there were only formula and images. Week 4 exercise could have been given a little more clearly in the Exercise sheet.
por Martin Z•
6 de mar. de 2019
There were a lot of error in the materials even after all those years. Also the instructor's English is hard to understand sometimes. In addition to that they do a lot of waving around with their hands instead of marking things directly in the pictures.
por Fabio B•
4 de ago. de 2017
The course is excellent is computer vision! The only problem it is not didactic at all, so if you don't are familiar with this content it will be very hard (even impossible) to follow.
por Casey B•
29 de ago. de 2018
Lectures sometimes scattered and hard to follow. More advanced visuals would be helpful for such a visual subject vs watching lecturers wave hands and point at things.
por Adarsh S•
29 de abr. de 2020
Topics are good and comprehensive, but videos are long and difficult to follow, with a lot of additional research necessary to truly understand the concepts.
por Francisco C M•
6 de may. de 2020
The content was great and not so easy, you need good math-linear algebra background, bur for some reason I didn't enjoy the course :/
por Andrey S•
13 de abr. de 2017
Too much theory and projects didn't related with real life problems.
por Christos P•
22 de dic. de 2020
Visual Perception (Computer Vision) < Perception
Too math oriented
por Wahyu G•
15 de ago. de 2018
Very though and little help in the discussion forum
por Alejandro A V•
3 de may. de 2016
The videos are so long in time and not very clear.
por Yiğit U•
29 de abr. de 2016
Lessons and videos are very long for one week.
por Deepak P•
10 de abr. de 2019
Not at all formulated for bachelors
por Chris F•
8 de may. de 2016
Professors very hard to understand, and videos don't have the best editing.
Also extremely math heavy, lectures being just math formulas, without a lot of real life applicability (ex. the assignments where you have to project a logo, or cube, when the program gives you the location corners in a file, which will NEVER happen when you use your camera; finding that position is a pre-requisite of the entire program)
por David L•
19 de may. de 2016
This course should have been very good. Lots of detail. But the material is not presented very clearly. The Assignments are also not setup so that it is easy to fix your work. It either passes, or you get minimal feedback.
por Omar E•
21 de jun. de 2022
Content feels all over the place, the instructors explaining is lacking, generally an uninteresting course for the topic matter
por Mohammed A 2•
22 de jun. de 2022
Very bad illustrations, the instructors are explaining using thier hands in the air, how can I know which line is he referring to while he is showing with his hands in air ?
Bad visual aids
Bad preparation, most of the time the instructors appear that they are just reading a script, not explaining
fun fact; that in one of the videos the instructor was confused and then said "I will repeate again" and then continue reading the script
6 de may. de 2022
Worst course ever had on Coursera. Bad illustrations and cumbersome body languages just make the explanation of the concepts more confusing. Maybe the Andrew Ng's machine learning and deep learning specialization are just too good, so that it makes me feel this course is unacceptably bad.
por Matthias K•
5 de sep. de 2020
I need help