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Вернуться к Convolutional Neural Networks

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

4.9
звезд
Оценки: 40,626

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

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.

RK

1 сент. 2019 г.

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.

Фильтр по:

4701–4725 из 5,360 отзывов о курсе Convolutional Neural Networks

автор: Logan M L

8 апр. 2019 г.

Could use some work re-updating the notebooks to make coding as seemless as course 2 in this specialization.

автор: vikas v

2 сент. 2018 г.

Mentors seems not so active on respond on questions. Otherwise this was very good course to learn about CNN.

автор: wish

25 июня 2018 г.

I nice course, but too easy, assignments are very simple, I think more coding should be left to the student.

автор: Tushar B

20 июня 2018 г.

Had submission issues with the assignments. I had to submit without verifying the outputs via hit and trial.

автор: Ivana T

29 нояб. 2017 г.

Overall great course. Room for improvement - programming assignments could be more difficult and less buggy.

автор: Abhishek S

31 мая 2020 г.

Great learning assignments but I wish there was at least one assignment where everything was not spoon fed.

автор: Hieronim K

18 дек. 2019 г.

Informative but very low production value with unedited, uncut videos with lots of frustrating repetitions.

автор: Marth

30 сент. 2018 г.

Only one more blank line in the start of the cell waste me one and a half hour to find the amazing bug...XD

автор: Kat H

1 дек. 2017 г.

Overall a great course, just some bugs with the assignment grader that made for quite a bit of frustration.

автор: Michael A

26 мар. 2021 г.

elucidating,concept explain in an easisy to understand manner ,thanks to the subject matter prof Andrew Ng

автор: Muhammed A Ç

30 сент. 2020 г.

That course is quite beneficial the only problem, except than first week, course could be a more detailed.

автор: Mata P

26 июля 2020 г.

The course overall was very helpful but i think that the there should be more clearance in the assignments

автор: Manish S

27 мая 2020 г.

Thanks Coursera, Awesome experience which help to clear many doubt like one object detection bbox encoding

автор: Raphael P

3 дек. 2017 г.

Missing some questions in between videos. Some assessment are not as well written than previous lessons...

автор: Dag W

21 нояб. 2020 г.

Great course with a fast-track into the world of CNN's. A little bit raw around the edges, but effective.

автор: André E

24 июля 2020 г.

It would be more interesting if the programming exercises utilized the more recent version of tensorflow.

автор: Rahul K

24 янв. 2020 г.

Things were really interesting..It would be great if there were some more topics and details of the model

автор: XINQI

18 мая 2019 г.

Please do not use too strict rules to check the assignment, I.e. IOU Func, it's a waste of time to debug.

автор: Carlos L

24 февр. 2018 г.

The course is great but the support of the mentors is zero and there are several typos in the notebooks.

автор: Vamsi V

10 февр. 2019 г.

difficulty in learning program it there any optional videos to learn those programming like keras etc..

автор: Cesar B

8 июля 2018 г.

A couple of missunderstading in the assigments but you can learn a lot about convnets and that is huge!

автор: Ievgenii K

3 дек. 2017 г.

Cover some of topics and give good overview, but skip other interesting moments (like GAN and CapsNet).

автор: Yash G

29 нояб. 2018 г.

A good course, could be great if we keep the course updated with current state of the art developments

автор: 金哥哥

1 февр. 2018 г.

I don't know the triplet loss part in the final PA. why it's should be axis = None

other PAs are great!

автор: Bhuvan G

17 авг. 2020 г.

The graded assignments are a bit buggy and need to be corrected. The quality of the content is great.