學生對 多伦多大学 提供的 Visual Perception for Self-Driving Cars 的評價和反饋
課程概述
熱門審閱
The course has proved to another milestone in furthering my understanding of robotics, computer vision, machine learning and autonomous driving vehicles.
Really really great course. I would like to work with Prof.Waslander at any project. I will advise this course to anyone interested. Thanks Coursera!
26 - Visual Perception for Self-Driving Cars 的 50 個評論（共 56 個）
創建者 Diego A V G
•It was very challenging and worthy for me. An amazing way to learn very powerful skills.
創建者 MIHIR R J
•Very difficult course compared to the previous two courses but learning was fun.
創建者 Paulo E R J
•It was a really hard course, but i've learned a lot!
創建者 River L
•I had a great time taking this course. Thank you!
創建者 KOLLEPARA S N M K
•Feeling very good to learn this entire course
創建者 PAMARTHI K
•GOOD to providing such a wonderful courses
創建者 Miguel
•Excelent Course, extremely recommended.
創建者 Anditya A
•some of the notebooks return error
創建者 Huang C
•Great course, I learn a lot!
創建者 Daniele C
•Really a top level course!
創建者 UMAR T
•Excellent course material
創建者 Gireesha H M
•Very very informative.
創建者 PAPPU S V T
•Great Experience
創建者 Jaswanth N
•Excellent course
創建者 Vicente R
•Great course!
創建者 anusha m
•good course!
創建者 Raul V N
•MUY BUENO
創建者 Matías F
•amazing!
創建者 Jeff L J D
•Thanks
創建者 Chongyu Z
•useful
創建者 Sruti B
•Useful
創建者 Soumyajit M
•Great
創建者 Md. R Q S
•great
創建者 Balasubramanyam P
•good
創建者 Kosinski K
•Thanks to this course I have gained a lot of knowledge related to visual perception. However, in contrary to 2 previous Self-Driving Cars courses, it has 2 main drawbacks which I cannot omit while writing the review:
1) Bad quality of PDFs - overlaping texts and graphics. Watching videos was sometimes the only way to quickly recall a content of presentation.
2) Poor preparation in the presentations for the project from week 2 combined with incomplete online documentation of OpemCV functions made this task pretty tedious and annoying. Moreover, a ridiculous limit of 3 submits per 8h for the mentioned task, which requires multiple parameters modifications.
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