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Deep Learning in Computer Vision, National Research University Higher School of Economics

98 calificaciones
21 revisiones

Acerca de este Curso

Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars. The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. We will cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation. In course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and oftenly demonstrated in movies and TV-shows example of computer vision and AI....

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.

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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 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


-thorough course material

-ambitious and interesting assignments


-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.