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學生對 国立高等经济大学 提供的 Deep Learning in Computer Vision 的評價和反饋

3.8
175 個評分
43 個審閱

課程概述

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 often demonstrated in movies and TV-shows example of computer vision and AI. Do you have technical problems? Write to us: coursera@hse.ru...

熱門審閱

SJ

Jun 12, 2018

Excellent course! Quiz questions are conceptual and challenging and assignments are pretty rigorous and 100% practical application oriented.

RR

Apr 19, 2019

Don't just read what's written on the projector. Try explaining it. And explain with code.

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26 - Deep Learning in Computer Vision 的 42 個評論(共 42 個)

創建者 Erik G

Jun 07, 2019

Some lectures aren't clearly structured. The homework assignments have downstream dependencies (week 5 depends on earlier weeks) which is not the best format IMO.

創建者 Roman

Oct 23, 2019

Overall:

This is an advanced course. Most of the time it would be difficult. In general, this course looks like the whole educational system in Russia - the given task is much harder then you can solve right now. But if you had a strong motivation you became much smarter. Support for this course doesn't even exist, but sometimes it is very useful to read the discussion to week practice.

Lectures and quizzes:

Teachers try to give a LOT of information in a very short time. But this theme is really not as simple to be told quickly. So as a result, you can understand just nothing:) Additionally, a heavy accent and kind of advanced vocabulary can make you feel frustrated.

BUT you can look at this that some keywords to google it was given) So generally, to understand I spend a lot of hours of reading about approaches in Computer Vision, mentioned here. The course was very useful from this point of view.

Quizzes sometimes look like crap. For some tasks, I still don't know to answer correctly.

Practice:

This is a part which could you a reason for you to finish this course. Tasks here really hard and requires from you a lot of time (about 20h, including the time to understand the task itself). I highly recommend all this practice carefully, it could be helpful for you in the future;) As a result, I knew a lot of tricks on how to prepare a model for find, recognize and even create faces.

創建者 Anmol G

May 02, 2019

The content was good, but there are several drawbacks too

1 Content not explained well

2 Assignments had mistakes (like broken links, wrong descriptions)

3 Minimal or Non-Existing support from the staff.

創建者 William

Apr 22, 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

創建者 Gary

May 27, 2019

Not clear. And just focus on papers, not on basic structure or models.

創建者 IMAD E M

Jul 10, 2019

pretty good mooc wtih very exciting and hard assignments, I highly recommend it. The main issue I faced it was that the lectures are not well explained, so you need to look for documents and other lectures by yourself.

創建者 Jiachen L

May 05, 2019

Course homework is actually not well designed for Coursera platform, some homework is not quite relevant to Deep Learning (i.e., HW1 and HW2) and some is very hard to complete (i.e., the last one, I tried on CPU for about 2 weeks). Also, the slides are not shared for this course in the series.

創建者 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

創建者 Иванов К С

Apr 20, 2019

This isn't a good course, difficult to understand and don't maintain by authors.

創建者 juehuan l

Apr 07, 2019

Some lectures are just reading the teleprompter!

創建者 Nguyễn M T

Jul 16, 2019

not clearly content

創建者 Marian L

Aug 08, 2019

Zero passion from instructors. A lot of stupid questions, some of them with errors. Interesting programming assignments, but with dozen of typos. Don't expect to finish any of those programming assignments in two hours.

創建者 Francesco Z

Sep 26, 2019

Course is poorly mantained. Time is spent to understand what it is to be done rather than learning. Some bugs in notebooks are not fixed. Not a good experience.

創建者 Nabarun D

May 20, 2019

Worst course in the specialization.

創建者 111qqz

Jun 30, 2019

Poor English pronunciation, strange tone makes this course very difficult to understand

創建者 Bhanu T B

Jul 07, 2019

This is not a course,it is just a man giving his presentation.

創建者 khalid w

Oct 21, 2019

There is too much content stuffed into every week. The quizzes and assignments are very difficult with zero moderator help/guidance. Even the discussion forums are filled with people asking others to review their assignments. No guidance posts are available. I haven't seen any posts by mentors in any discussion forums.