学生对 deeplearning.ai 提供的 Convolutional Neural Networks 的评价和反馈
课程概述
热门审阅
OA
Sep 3, 2020
Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.
AR
Jul 11, 2020
I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch
5276 - Convolutional Neural Networks 的 5300 个评论（共 5,334 个）
创建者 Daryl V D
•Jun 19, 2018
TOO MANY BUGS IN THE EXERCISES.It was a dis-incentive. Really.And I love me some deeplearning.ai! It has been great. The videos and content structure are fantastic.
创建者 Arsh P
•Dec 15, 2018
Though the videos were very good but the assignments require too much from us and also there are few mistakes in week 3 and 4 notebooks which take a lot of time.
创建者 Yongseon L
•Jun 15, 2019
https://www.coursera.org/learn/convolutional-neural-networks/programming/IaknP/face-recognition-for-the-happy-house/discussions/threads/NcpP7i95EemJswr-eOHMNg
创建者 mike v
•Jun 8, 2019
The content is excellent, but there were technical problems with the final homework assignment that were not addressed by staff in a timely manner.
创建者 Sébastien C
•Aug 18, 2020
Content was interestind and provided good theoretical overview. Exercices where you just have to fill in some line of codes are not usefull.
创建者 Joshua S
•Nov 29, 2019
Some of the code was incorrect and the guidance was often confusing. Visibly worse than the other courses in the specialization,
创建者 Kristoffer M
•Nov 30, 2019
Don't feel like I understand these models much better than before. Still don't see the logic of the identity layers
创建者 Prasenjit D
•Dec 6, 2017
Lots of problem with the grader. Wasted a lot of time grappling with grader issues. Very disappointed.
创建者 Sandeep K C
•Dec 28, 2018
The quality of some of the graders e.g. IOU is poor. One cannot make out what exactly is it checking
创建者 I M
•Oct 17, 2019
Disappointed by the quality of notebooks, which often disconnect and lose all the code you wrote.
创建者 Shuhe W
•Jun 8, 2019
The course assignment parts have many errors, I have to fix it myself. That's silly.
创建者 Bernard F
•Dec 13, 2017
Good content, but quite a bit of technical work is needed to present this better.
创建者 Ryan B
•Jan 2, 2020
for goodness sake "your didn't pass the test" isn't feedback for notebook grades
创建者 Coral M R
•Jun 7, 2019
Dificultades en la hoja de tareas de Face Recognition que deberían solucionar
创建者 Jason K
•Dec 13, 2017
The content was good, as usual, but week 4's quiz was pretty buggy.
创建者 Mike B
•May 7, 2018
Good course but lots of technical issues with the assignments.
创建者 Kishan
•Feb 13, 2018
The notebooks were too simple. And the grader was not working.
创建者 Stéphane P
•Mar 30, 2019
Videos are good, but exercises are really confusing
创建者 chao z
•Feb 22, 2018
content good, but assignment is in poor quality
创建者 hossein
•Jul 19, 2020
The structure of the assignments is not good
创建者 Ankur S
•Dec 30, 2019
Programming exercises have bugs
创建者 borja v
•Aug 22, 2019
unclear content...I'm sorry
创建者 Alex A K
•Sep 28, 2019
Numerous technical issues
创建者 Christopher H
•Feb 24, 2022
Customer service informed me that once a user completes a course, they're not permitted to access the assignments for reference again. This is a huge drawback to this platform, as that's where the real lessons are and essentially prevents a paying customer from being able to reference their own work. This is esspecially dissapointing given that I would have followed the instructions to download the Jupyter notebooks while in the class had I know about this bizzarre policy.
创建者 Mostafa A
•Dec 16, 2017
Assignement: Face recognition for happy house was not happy at all
it took me 4 attempts to pass.
triplet_loss function you need to submit incorrect answer to pass. to get correct answer you need to have axis=-1. Bu to pass you have to take it out.
I hope you guys fix to stop more people to waste there time.
Not happy at all.
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