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Convolutional Neural Networks(으)로 돌아가기

deeplearning.ai의 Convolutional Neural Networks 학습자 리뷰 및 피드백

39,733개의 평가
5,259개의 리뷰

강좌 소개

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....

최상위 리뷰

2020년 7월 11일

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

2019년 9월 1일

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.

필터링 기준:

Convolutional Neural Networks의 5,228개 리뷰 중 5176~5200

교육 기관: Joshua S

2019년 11월 29일

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

2019년 11월 30일

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

2017년 12월 6일

Lots of problem with the grader. Wasted a lot of time grappling with grader issues. Very disappointed.

교육 기관: Sandeep K C

2018년 12월 28일

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

2019년 10월 17일

Disappointed by the quality of notebooks, which often disconnect and lose all the code you wrote.

교육 기관: Shuhe W

2019년 6월 8일

The course assignment parts have many errors, I have to fix it myself. That's silly.

교육 기관: Bernard F

2017년 12월 13일

Good content, but quite a bit of technical work is needed to present this better.

교육 기관: Ryan B

2020년 1월 2일

for goodness sake "your didn't pass the test" isn't feedback for notebook grades

교육 기관: Coral M R

2019년 6월 7일

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

교육 기관: Jason K

2017년 12월 13일

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

교육 기관: Mike B

2018년 5월 7일

Good course but lots of technical issues with the assignments.

교육 기관: Kishan

2018년 2월 13일

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

교육 기관: Stéphane P

2019년 3월 30일

Videos are good, but exercises are really confusing

교육 기관: chao z

2018년 2월 22일

content good, but assignment is in poor quality

교육 기관: hossein

2020년 7월 19일

The structure of the assignments is not good

교육 기관: Ankur S

2019년 12월 30일

Programming exercises have bugs

교육 기관: borja v

2019년 8월 22일

unclear content...I'm sorry

교육 기관: Alex A K

2019년 9월 28일

Numerous technical issues

교육 기관: Mostafa A

2017년 12월 16일

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

2021년 6월 6일

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

2017년 12월 30일

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

2021년 2월 7일

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

2017년 12월 14일

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

2018년 1월 29일

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

2018년 1월 28일

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.