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Convolutional Neural Networks に戻る による Convolutional Neural Networks の受講者のレビューおよびフィードバック



In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....




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



Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.


Convolutional Neural Networks: 5326 - 5350 / 5,361 レビュー

by 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.

by Ankit A


its very important that few projects be given with raw dataset and we should be able to build projects right from scratch. That gives more confidence, else this course is only limited to hugh school students and not at all for sometime who wants to make a career into this - projects are 90% of the learning and not theory.

by 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.

by 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.

by 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.

by 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.

by 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.

by 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.

by Boquan Y


Cannot reset the deadline because of the garbage server. I paid 49 dollars per month but have no rights to access my assignment. I post my issue on the discussion forum but no one responded.

by punit v


There has been problem with grading of IoU function since last one year as of 10-06-2019. Nobody care to fix it. Once courses are created its left to earn unlimited money nothing else.

by Roy H


Very disappointed in this compared to the earlier courses in the certificate. The assignments are incredibly dated, to the point that the links to docs are all broken now.

by Daniel S


I can't finish the course due to buggy submission, the problem is wide spread, lot's of students have the same issue with no response from the teachers. Unacceptable.

by Xing H L


The course was really rushed, and there are many errors with the assignments, especially with the last one (couldn't submit at all even when i got the code correct.

by Maisam S W


TERRIBLE! had to submit wrong functions to get full credits in the last assignment! Wasted so much of my time reading through the discussion forums.


by Martin C


The preparation of the lectures seems rushed, with very little in the last week and the same paragraphs repeated. The assignments are thin with buggy grading.

by Laurent B


Last part of the specialisation is not available (and coursera will keep taking subscription money for it).

Avoid this until the MOOC is really complete.

by Elias S


admission doesn't work and there is no one to help you with issues you get on the platform. Mentors respond after 9 days sometimes. Absolut garbage.

by Alexey K


The course is buggy. Assignments are almost never possible to pass following instructions. Too early to make it public.

by Emiliano I V


The course is good but the bugs in the evaluator in the programing assignments make this course a nightmare.

by Tom H


Course wont let me do the assessment before a future date, I am basically paying to wait. WHAT THE FUCK

by Peter


Without tensorflow knowledge it's a bit hard. Also Grader problems and bugs was annoying!

by Willie Z


filled with bugs, wasted a bunch of time resolving bugs with the grader. very frustrated

by Michael M


The grader backend was broken and they reset three of my labs. Really unprofessional!

by Alex V


zero star!!! quiz will show you fail for correct code, worked in xcode!!! terrible!!

by Carlos A


It is almost impossible to get an answer for the people responsible for the course