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Avis et commentaires pour l'étudiant pour Convolutional Neural Networks par deeplearning.ai

4.9
25,597 notes
3,078 avis

À propos du cours

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization....

Meilleurs avis

AG

Jan 13, 2019

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

Sep 02, 2019

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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226 - 250 sur 3,044 Examens pour Convolutional Neural Networks

par Aizhar A

Feb 11, 2019

Want more courses from Andrew Ng Sir, Great teacher

par YuhaoWu

Feb 11, 2019

理论入门很好,包括很friendly的编程项目;

但代码量不太够,对于有意向从业的学习者,还需要自己额外找项目来实践这些理论

par Krishna K M

Feb 02, 2019

Andrew Ng's explanation is just fluid.

par Cesar L A C

Feb 01, 2019

A brilliant course! ... Yolo algorithm was very stimulating.

par Tatiana B

Feb 12, 2019

Some what was more difficult as others. Lots more material to cover, but great never the less.

par Katherine T

Jan 19, 2019

Great course content. Please resolve some of the technical issues with the projects.

par Mfundo B S

Feb 02, 2019

This course is one of the best out there to start off your computer vision journey. I enjoyed it alot.

par Christian B

Feb 03, 2019

Brilliant course

par Nguyen K T

Feb 03, 2019

very good

par Christoph B

Feb 03, 2019

great course!

par Saurabh S

Apr 02, 2019

Very informative course on CNN. You learn a lot.

par Haoqiu W

Apr 03, 2019

nice instructor

par Luis E R

Apr 03, 2019

Andrew's teaching is exceptional, he finds the right way to convey the necessary information for complex concepts, he does not skip them but strikes the right balance of not going too deep, however he does warn you in a way, that you need to study them on your own.

I think the course, will give you very strong foundations if you take time to understand what you are really doing and what the algorithms are doing.

After this I think you will require a lot of practice with several examples on you own,

par Emmanouil K

Apr 02, 2019

Excellent course but a little tough!

par Irina M

Apr 02, 2019

Thank you for the course and I really like it. Learn a lot and I made few teaching sessions of DeepLearning algorithm for Women Who Code, where I am mentor in leadership group. I clarified many things for myself during the course, I very grateful for the amazing knowledge and experience! I will recommend this course to colleagues.

par 梁礼强

Apr 02, 2019

this course is pretty good,but the some of these techniques introduced in class are slightly out-of-date,such as yolo v2 and this version of neural style transfer. It's OK as an introduction, but it may be better to mention the latest or general version algorithms.

par rajesh t

Apr 04, 2019

Very interactive and really great contents found till now.

par Ali S

Apr 04, 2019

This course breaks down the very difficult concepts into parts to ensure that the students learn and are able to apply their learning for their work

par Shubam G

Apr 05, 2019

best course to clear the concept and get the root of CNN

par Prabesh G

Apr 05, 2019

great

par Yilun Y

Apr 06, 2019

Overall an awesome course, however, it somewhat lacks some important topics and models such as SSD, Faster RCNN, mask RCNN, etc which are even more frequently mentioned in literature and applied in real world projects. This course really sparked my curiosity and passion in deep learning, I actually learned the models mentioned before by reading the original paper and many useful blogs. This is a long but rewarding journey, I would also like to see more topics be covered in this course and let more people know how these state-of-art models work and how they really change the world.

par Karel N N

Apr 05, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

par Stephen Y

Apr 06, 2019

Great class with good teaching!

par RAJ S

Apr 06, 2019

It is so complex yet you have made it so easy

par Pedro f

Apr 06, 2019

amazing, clear, well designed, easy to follow...but with the best cutting-edge knowledge