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
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.
교육 기관: Joshua S•
Some of the code was incorrect and the guidance was often confusing. Visibly worse than the other courses in the specialization,
교육 기관: Kristoffer M•
Don't feel like I understand these models much better than before. Still don't see the logic of the identity layers
교육 기관: Prasenjit D•
Lots of problem with the grader. Wasted a lot of time grappling with grader issues. Very disappointed.
교육 기관: Sandeep K C•
The quality of some of the graders e.g. IOU is poor. One cannot make out what exactly is it checking
교육 기관: I M•
Disappointed by the quality of notebooks, which often disconnect and lose all the code you wrote.
교육 기관: Shuhe W•
The course assignment parts have many errors, I have to fix it myself. That's silly.
교육 기관: Bernard F•
Good content, but quite a bit of technical work is needed to present this better.
교육 기관: Ryan B•
for goodness sake "your didn't pass the test" isn't feedback for notebook grades
교육 기관: Coral M R•
Dificultades en la hoja de tareas de Face Recognition que deberían solucionar
교육 기관: Jason K•
The content was good, as usual, but week 4's quiz was pretty buggy.
교육 기관: Mike B•
Good course but lots of technical issues with the assignments.
교육 기관: Kishan•
The notebooks were too simple. And the grader was not working.
교육 기관: Stéphane P•
Videos are good, but exercises are really confusing
교육 기관: chao z•
content good, but assignment is in poor quality
교육 기관: hossein•
The structure of the assignments is not good
교육 기관: Ankur S•
Programming exercises have bugs
교육 기관: borja v•
unclear content...I'm sorry
교육 기관: Alex A K•
Numerous technical issues
교육 기관: Mostafa A•
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.
교육 기관: Matteo V•
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.
교육 기관: Martin B•
Lectures were good, but the assignments have major problems with the grading. On several problems, you have to put in an incorrect solution in order for the grader to accept it. This have been reported by a number of students in the forum. It needs to be cleaned up.
교육 기관: Ed G•
This course is much poorer than the previous courses in this series. Much of the content was at a very high level without sufficient detail. More explanation to make a concept clear was lacking. Hope for some improvement to the content for future learners.
교육 기관: Ransom E•
Video clips need to be re-edited. There are "retakes" that are back to back, so you will often hear phrases and sentences repeated. Different program assignments have bugs in them so that you have to submit the WRONG answer in order to pass the grader.
교육 기관: EZ•
The grader is a joker. And the load on the server makes submission and grading taking forever. People have been complaining for months and not getting any help and not being fixed after such a long time is not excusable.
교육 기관: Chris L•
Interesting material but very sloppy in terms of attention to detail. The videos frequently have editing errors and the assignments often contain weird bugs that go uncorrected for months on end.