AV
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
RK
Sep 1, 2019
This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.
By Vihar K
•Jun 6, 2018
Lectures are awesome, really inspiring and intuitive.Trouble with submitting assignments. I've solved the given question and resubmitted for almost six times, but the kernels showing up errors.
By Carlos K
•Jul 12, 2018
Horrible user experience with the "Jupyter Hub" constant issues that makes trying to do the exams an absolute nightmare and a perfect anxiety booster!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
By Dario d J B U
•Nov 15, 2019
In some tasks the delivery format is arbitrary and does not specify well what is wanted, that is, so the numerical value requested is good, the output is incorrect. due to format issues.
By Imtiaz Q
•Oct 10, 2024
Not as good as the other courses in this specialization series. Specially, everything in week 4 has been rushed too much, with limited explanation of some of the most complex topics!
By Aman B
•Jul 23, 2020
Programming part was not explained well. I guess programming syntax and flow of code should be explained too instead of just telling theory or focusing mainly on theory.
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