Chevron Left
Вернуться к Convolutional Neural Networks

Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 40,522
Рецензии: 5,372

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


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.


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:

4701–4725 из 5,348 отзывов о курсе Convolutional Neural Networks

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.

автор: Raj K

8 авг. 2020 г.

Course covers most of the basics for CNNs.

But it would be better if they would have also covered GANs

автор: Paul B

29 нояб. 2017 г.

Great content, HW assignments were poorly done because of the automated grader being fickle or wrong.

автор: Claudio v P

5 янв. 2020 г.

I would give it 5 starts, but there are too many errors in subtitles and audio. Overall very useful!

автор: Debadyuti B

11 сент. 2019 г.

Material was excellent as usual. However, there were a few glitches in the final week's assignments.

автор: Adalberto C Q

24 февр. 2018 г.

Pretty good course. It would be perfect if it would go much more into the details with YOLO and NST.

автор: Tobias H

3 янв. 2018 г.

Despite some bugs in the assignments (especially second assignment of week 4!) a very useful course!

автор: Mustafa A S

28 апр. 2022 г.

G​ood content, good instructor. But the grader is terribly buggy and makes you waste a lot of time.

автор: Pratik S P

23 сент. 2020 г.

there should be explanation of tensorflow library which will help us to understand more efficiently

автор: David K

23 мар. 2019 г.

Great, but some aspect such as Neural Style Transfer are not quite as applicable in the real world.

автор: Frederic D

21 июля 2018 г.

This course was cool too but I feel I got a bit less out of the exercises that the first 2 courses.

автор: Marcus M

20 февр. 2018 г.

Lots of editing bugs in the videos. Sometimes the videos would seem to jump backwards 5-20 seconds.