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

4.9
24,923 notes
3,005 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

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.

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.

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201 - 225 sur 2,966 Examens pour Convolutional Neural Networks

par Hassan E

Feb 06, 2019

Greeeeeeeeeeeeeeeeeeeeeeeat

par Yuri V H V

Feb 06, 2019

graciass

par Arpit J

Feb 06, 2019

Loved the part where research papers were discussed. Please make more such courses with focus on past and prospective future research.

par Mukund A

Feb 19, 2019

It was a really good experience. Best course available online. Well structured and well guided assignment. Got to learn a lot. Thank You!

par Manpreet M

Feb 19, 2019

Splendid course with extremely useful content and exercises. After this course you will definitely be comfortable with CNNs.

par Thomas H

Feb 11, 2019

Great course but the exported slides are quite bad with overlapping texts

par Aizhar A

Feb 11, 2019

Want more courses from Andrew Ng Sir, Great teacher

par ArsalMinhaji

Feb 11, 2019

Great Course. This time programming Assignment were tough but great. great learning..

par Sundas A

Feb 10, 2019

Just one word.....outstanding!

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 Parnika

Feb 10, 2019

An interesting and motivating course. Thanks for this!

par Tatiana B

Feb 12, 2019

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

par Kaiqiang W

Feb 13, 2019

Very good course !

par Akshaya N

Feb 13, 2019

Amazing course! very helpful.

par Mahesh

Feb 13, 2019

Best course for computer vision engineers. Assignments gives us direct intuition on real world problems. Highly recommended

par Bhargav P

Feb 13, 2019

Simply brilliant!.

par Sarfaraz K

Feb 15, 2019

Its an absolute gem of a course. Great explanation of state of the art CNN architectures in a very simplistic way. Loved every bit of it and learned a ton more. This course is a must do for anyone from beginners to advanced.

par Gilvandro F d M N

Feb 14, 2019

great!

par David H

Feb 14, 2019

Another excellent course led by Andrew Ng. It neatly builds on the previous three and, again, strikes an excellent balance of difficulty and gentle encouragement.

par Krzysztof W

Feb 15, 2019

Great course, however the programming assignments could be a bit harder ;)

par xuezhibo

Feb 15, 2019

Best CNN course I ever seen!

par Guillermo F

Feb 15, 2019

Excellent course, thank you!

par Shi Y

Feb 16, 2019

非常轻量级,点到为止,但依旧值得一学

par David T

Feb 17, 2019

This is a very meaty course. Lots of hands on exercise, and the material and techniques taught are very recent. Thank you Andrew!

par Amilkar A H M

Feb 07, 2019

Great course! I would recommend it to anybody with some knowledge of machine learning.