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deeplearning.ai 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

4.9
39,043件の評価
5,129件のレビュー

コースについて

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....

人気のレビュー

OA
2020年9月3日

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

RS
2019年12月11日

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.

フィルター:

Convolutional Neural Networks: 5026 - 5050 / 5,080 レビュー

by Michael V

2019年6月8日

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

2020年8月18日

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

2019年11月29日

Some of the code was incorrect and the guidance was often confusing. Visibly worse than the other courses in the specialization,

by Daniel K A M

2019年11月30日

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

2017年12月6日

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

by Sandeep K C

2018年12月28日

The quality of some of the graders e.g. IOU is poor. One cannot make out what exactly is it checking

by I M

2019年10月17日

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

by Shuhe W

2019年6月8日

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

by Bernard F

2017年12月13日

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

by Ryan B

2020年1月2日

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

by Coral M R

2019年6月7日

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

by Jason K

2017年12月13日

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

by Michael B

2018年5月7日

Good course but lots of technical issues with the assignments.

by Kishan

2018年2月13日

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

by Stéphane P

2019年3月30日

Videos are good, but exercises are really confusing

by chao z

2018年2月22日

content good, but assignment is in poor quality

by hossein

2020年7月19日

The structure of the assignments is not good

by Ankur S

2019年12月30日

Programming exercises have bugs

by borja v

2019年8月22日

unclear content...I'm sorry

by Alex A K

2019年9月28日

Numerous technical issues

by Mostafa A

2017年12月16日

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 Matteo V

2021年6月6日

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

2017年12月30日

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

2021年2月7日

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

2017年12月14日

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.