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Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 39,878
Рецензии: 5,273

О курсе

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....

Лучшие рецензии

12 янв. 2019 г.

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.

11 дек. 2019 г.

Great Course Overall\n\nOne 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.

Фильтр по:

5201–5225 из 5,245 отзывов о курсе Convolutional Neural Networks

автор: Coral M R

7 июня 2019 г.

Dificultades en la hoja de tareas de Face Recognition que deberían solucionar

автор: Jason K

13 дек. 2017 г.

The content was good, as usual, but week 4's quiz was pretty buggy.

автор: Mike B

7 мая 2018 г.

Good course but lots of technical issues with the assignments.

автор: Kishan

13 февр. 2018 г.

The notebooks were too simple. And the grader was not working.

автор: Stéphane P

30 мар. 2019 г.

Videos are good, but exercises are really confusing

автор: chao z

22 февр. 2018 г.

content good, but assignment is in poor quality

автор: hossein

19 июля 2020 г.

The structure of the assignments is not good

автор: Ankur S

30 дек. 2019 г.

Programming exercises have bugs

автор: borja v

22 авг. 2019 г.

unclear content...I'm sorry

автор: Alex A K

28 сент. 2019 г.

Numerous technical issues

автор: Mostafa A

16 дек. 2017 г.

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.

автор: Matteo V

6 июня 2021 г.

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.

автор: Martin B

30 дек. 2017 г.

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.

автор: Ed G

7 февр. 2021 г.

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.

автор: Ransom E

14 дек. 2017 г.

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.

автор: EZ

29 янв. 2018 г.

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.

автор: Chris L

28 янв. 2018 г.

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.

автор: Boquan Y

2 авг. 2020 г.

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.

автор: punit v

10 июня 2019 г.

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.

автор: Roy H

17 мая 2021 г.

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.

автор: Daniel S

9 февр. 2020 г.

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.

автор: Xing H L

7 февр. 2018 г.

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.

автор: Maisam S W

9 дек. 2017 г.

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.


автор: Martin C

28 нояб. 2017 г.

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.

автор: Laurent B

31 дек. 2017 г.

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.