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Вернуться к Convolutional Neural Networks

Отзывы учащихся о курсе Convolutional Neural Networks от партнера deeplearning.ai

4.9
звезд
Оценки: 40,134
Рецензии: 5,314

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

OA
3 сент. 2020 г.

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.

AG
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.

Фильтр по:

4851–4875 из 5,286 отзывов о курсе Convolutional Neural Networks

автор: Zhijun C

21 дек. 2017 г.

The assignment has some problems with grading.

автор: Bruno K

25 нояб. 2017 г.

There wasn't anything about image segmentation

автор: DARSHAN D

25 апр. 2020 г.

Great Course, learned a lot of basics of CNN.

автор: Bourne

27 апр. 2018 г.

这门课非常好,信息量超大,要反复看。app上做题,适配有点问题,quiz已经没有答案解析了

автор: Edward W

31 мар. 2018 г.

The course can old give you some general idea

автор: MehmetSolmaz

15 дек. 2017 г.

too many problems with the second assignment.

автор: abjkl

4 дек. 2017 г.

Hope can give some more details about keras:)

автор: Dimitri R

17 нояб. 2017 г.

Great material, buggy programming assignments

автор: Mares B

21 нояб. 2020 г.

Liked it and I'm exited for the next course!

автор: Sanjul K S

19 мая 2020 г.

Good course content with better assignments.

автор: Shanger L

7 июня 2018 г.

Assignment and video splicing quality drops

автор: Deleted A

13 янв. 2018 г.

Some of the videos were edited really poorly

автор: 王琳娜

3 янв. 2018 г.

fault in the 4th week programming assignment

автор: 邱 奕

13 янв. 2018 г.

The bug in 4th assignment is so frustrated.

автор: Damir V

7 нояб. 2017 г.

Some technical problems but great overall !

автор: Lee W K

16 мая 2021 г.

Some of the assignment graders have issues

автор: Prasad D D

27 авг. 2020 г.

Very good explanation of all the concepts.

автор: Adrien A

10 июня 2018 г.

This one may be the hardest of the Series!

автор: savinay s

24 дек. 2017 г.

Some concepts were not explained clearly .

автор: Siddhant S

22 февр. 2020 г.

very very much thankfull to Andrew Ng Sir

автор: Aditya V S

6 нояб. 2019 г.

Best course for CNN and its applications.

автор: Gerard C I

20 окт. 2019 г.

Very nice but maybe a little bit shallow.

автор: Jackey N

16 дек. 2018 г.

some typos in the assignment instructions

автор: Pete H

6 дек. 2018 г.

编程题如果能够简单设计一下训练,哪怕epoch次数少一点也好,至少整个流程会更清楚

автор: Ronghao Y

17 февр. 2018 г.

Yolo algorithm was not introduced clearly