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Вернуться к Computer Vision Basics

Отзывы учащихся о курсе Computer Vision Basics от партнера Университет штата Нью-Йорк в Баффало

4.2
звезд
Оценки: 1,749
Рецензии: 496

О курсе

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks. This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes. * A free license to install MATLAB for the duration of the course is available from MathWorks....

Лучшие рецензии

AO

28 апр. 2020 г.

Lays a good foundation for Computer Vision. There should be more programming examples as some of the labs were beyond the scope of what was taught in the videos, especially the last one.

ZL

15 июля 2020 г.

I enjoyed learning about Computer Vision . The course showed me a new horizon and motivate me to discover this filed more. Thank you to All the professors ,and thank you Coursera!

Фильтр по:

151–175 из 495 отзывов о курсе Computer Vision Basics

автор: Pankaj K

24 мая 2020 г.

Best Ever Course on Computer Vision Basics.

автор: Khairul A

11 нояб. 2021 г.

Thank you for knowledge and certificate...

автор: OPERA N

12 авг. 2020 г.

Thank you so much give me the opportuity.

автор: Anil K D

28 апр. 2020 г.

Good course for learning Computer vision

автор: Rajat G

18 апр. 2020 г.

It was great learning experience for me.

автор: Hamora H

3 июля 2020 г.

This's the best course for me

Thanks! :)

автор: Subha p C

2 июля 2020 г.

session was more informative and useful

автор: Muhammad N

15 мая 2020 г.

I have learn many tools in this course

автор: Dicky P

12 июля 2020 г.

very much useful. thank you very much

автор: Alptug P

3 июля 2020 г.

Nice course for an advanced learner!

автор: Dr. K T

13 июня 2020 г.

Problems can be defined more clearly

автор: Waliu M

13 авг. 2020 г.

Detailed and simplified course....

автор: Rushikesh T

5 июня 2020 г.

Very good course from courseera

автор: R.M V

27 апр. 2020 г.

Excellent Course For Beginners.

автор: Patrick F

22 июня 2020 г.

Interesting and great course!!

автор: Ansh B

14 июня 2020 г.

Very In-Depth and informative.

автор: Suraj B

24 мая 2020 г.

Best for basic Computer Vision

автор: Michael B

22 апр. 2020 г.

very interesting & challenging

автор: Mohamed A G

4 дек. 2020 г.

I can speak to my camera! wow

автор: RAJA A

12 июля 2020 г.

Very Knowlege Increase a Home

автор: Ritashree R

2 июля 2020 г.

Very good and helpfull cource

автор: Shah W K

24 июня 2020 г.

Excellent, very much helpful

автор: Somesh K

29 мая 2020 г.

It was fun doing the course.

автор: Suyash g

28 мая 2020 г.

explanation was nice an good

автор: Hasitha N

21 нояб. 2020 г.

good introduction was done.