Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI
About the Course
Top reviews
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.
AG
Jan 12, 2019
Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.
5551 - 5575 of 5,613 Reviews for Convolutional Neural Networks
By 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.
By 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.
By 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
By 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.
By 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.
By 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,
By 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
By Prasenjit D
•Dec 6, 2017
Lots of problem with the grader. Wasted a lot of time grappling with grader issues. Very disappointed.
By 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
By I M
•Oct 17, 2019
Disappointed by the quality of notebooks, which often disconnect and lose all the code you wrote.
By Shuhe W
•Jun 8, 2019
The course assignment parts have many errors, I have to fix it myself. That's silly.
By Bernard F
•Dec 13, 2017
Good content, but quite a bit of technical work is needed to present this better.
By Ryan B
•Jan 2, 2020
for goodness sake "your didn't pass the test" isn't feedback for notebook grades
By Coral M R
•Jun 7, 2019
Dificultades en la hoja de tareas de Face Recognition que deberÃan solucionar
By Jason K
•Dec 13, 2017
The content was good, as usual, but week 4's quiz was pretty buggy.
By Deleted A
•May 7, 2018
Good course but lots of technical issues with the assignments.
By Kishan M
•Feb 13, 2018
The notebooks were too simple. And the grader was not working.
By Stéphane P
•Mar 30, 2019
Videos are good, but exercises are really confusing
By chao z
•Feb 22, 2018
content good, but assignment is in poor quality
By hossein
•Jul 19, 2020
The structure of the assignments is not good
By Ankur S
•Dec 30, 2019
Programming exercises have bugs
By borja v
•Aug 22, 2019
unclear content...I'm sorry
By Alex A K
•Sep 28, 2019
Numerous technical issues
By 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.
By Matteo V
•Jun 6, 2021
I took the basic ML course and now am taking all the Deep Learning courses. This is by far the worse course so far. Assignments are very unclear. Even explanations are less linear than in previous courses. Support is now on a different platform and not directly on Coursera. I would give it a negative grade if I could.