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Отзывы учащихся о курсе Convolutional Neural Networks от партнера

Оценки: 40,629

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


11 дек. 2019 г.

Great Course Overall

One 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.


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.

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4626–4650 из 5,361 отзывов о курсе Convolutional Neural Networks

автор: Russel C

2 сент. 2019 г.

Would have given it 5 stars but the notebooks were problematic, especially week 4 Happy House. Otherwise, it was a good conv net course.

автор: Ankit S

30 июня 2018 г.

Course content is very good and I found useful but I think Yolo exercise does required some changes. Over all very good, Thanks Andrew :)

автор: Philip D

17 июня 2018 г.

Excellent course material, but the videos are poorly edited and the programming assignments decrease in quality as the course progresses.

автор: Hristo B

3 окт. 2018 г.

There was just one minor error in the programming exercises' code. Otherwise very clear and the exercises give one a good understanding.

автор: Kevin R R M

12 окт. 2020 г.

Great course regarding a key architecture of neural nets that changed the world. Andrew is really great at explaining concepts, thanks!

автор: Karthi C

5 июля 2018 г.

Could have been longer since a lot more technical details were involved. But give a very good high level understanding of the concepts.

автор: Bahadir O

22 нояб. 2017 г.

Another awesome course by Prof.Ng! But this time I felt that assignments were poorly designed.. I didn't feel like I was learning much.

автор: AKUT J R

16 авг. 2020 г.

Great module for CNN! Fundamentals understood very well. Did not fully enjoy the assignments. Shakespeare assignment did not work !

автор: Bjorn J

21 окт. 2018 г.

Fantastic content, but some of the assignments were a bit confusing. They didn't have quite as detailed of instructions as the others.

автор: Andrei M

7 мая 2018 г.

The material is great, but the assignments are underwhelming. Would much prefer problem solving to filling in the blanks in the code.

автор: Tom M

25 нояб. 2017 г.

Auto grader is difficult and needs some work cleaning up the material of the Programming projects. Great Material in terms of content.

автор: Dipali k

27 мая 2020 г.

I found the course very useful and properly guided through. Especially programming assignments with Notebook were very informative .

автор: Ryan D

7 авг. 2019 г.

Overall a good course, but the code for assignments was buggy and unintuitive sometimes, requiring guidance in the discussion forums.

автор: Benedict B

19 авг. 2018 г.

Many problems with the homework grading, which costed a lot of time. Please try to verify the quality of the graders in a better way.

автор: Nabham G

17 июня 2020 г.

Pretty difficult to implement the models but a good course overall. Discussion forums were super helpful for the course assignments.

автор: Niklas V

20 нояб. 2018 г.

Exceptional course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

автор: Rodrigo N S

11 февр. 2021 г.

A great course, to be sure, but you don't really learn the more advanced applications fully. You do, however, get the gist of them.

автор: Tushar G

26 июня 2020 г.

It was a great course. My only issue was that, none of the quizzes had any relevant explanation. If you could incorporate the same.

автор: Vishnukumar K

12 сент. 2018 г.

As usual, Dr. Ng is awesome as ever but I felt the course to be a little too advanced and tougher to visualize concepts in my head!

автор: Akhtar H

22 апр. 2021 г.

One of the best course of Deep Learning specialization. Excellent Material was prepared and delivered in great style of teaching.

автор: Peregrine D

6 окт. 2019 г.

Overall great coverage of CNNs. Just think it's worth some more time getting dirty with the networks and building them with Keras.

автор: Alvaro S

24 янв. 2018 г.

Triple loss correction is wrong.... Overall very good presentations and amazing content! Thanks for the opportunity to learn that.

автор: Estapraq M K

9 июля 2018 г.

It is great, but it had some problems in the some of the assignments submissions! Hope Coursera can fix it for the next students.

автор: Robert F

24 мая 2021 г.

Great presentation from Andrew Ng as usals. Sometimes a little too theoretical approach, some more concrete examples could help.

автор: Andrea

9 окт. 2019 г.

The programming exercise of YOLO was not very clear, both the notation and the implementation. Otherwise, good couse. Thank you!