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Convolutional Neural Networks に戻る

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
40,536件の評価
5,374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

RK

2019年9月1日

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.

AG

2019年1月12日

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.

フィルター:

Convolutional Neural Networks: 5326 - 5348 / 5,348 レビュー

by Maisam S W

2017年12月9日

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.

DISAPPOINTED!

by Martin C

2017年11月28日

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

2017年12月31日

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

2019年11月21日

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

2017年12月6日

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

by Emiliano I V

2018年4月17日

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

by Tom H

2018年3月21日

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

by Peter

2018年1月17日

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

by Willie Z

2018年1月2日

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

by Michael M

2021年5月18日

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

by Alex V

2017年12月27日

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

by Carlos A

2018年9月13日

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

by RUPANJAN N

2020年7月1日

Lots of issue with Jupyter. Get some resources please instead of looting students

by 王海杰

2019年3月21日

there have a bug in program homework, it wasted me a lot of time

by Tamás K

2018年5月6日

The programming assignment in week 1 is ambiguous and confusing.

by sheng x

2019年6月6日

Very serious technical issue for the last week's assignment.

by Ge Z

2021年4月11日

Very bad grader for week 4 face recognition task.

by Felix F

2017年12月19日

giving low grade for ongoing delays of course 5

by Hidde R

2020年1月27日

Didn't pass because of an error by the course

by Saravanan M

2018年1月29日

Grader Issue - but course is excellent

by Kim S K

2018年1月7日

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by Charlie d T

2018年7月31日

bugs in the homework

by Sunandan S

2020年5月25日

WTFF