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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

4.9
stars
42,296 ratings

About the Course

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....

Top reviews

RS

Dec 11, 2019

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.

AG

Jan 12, 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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4401 - 4425 of 5,610 Reviews for Convolutional Neural Networks

By Shuo J

•

Mar 15, 2019

good

By Shirish P

•

Mar 5, 2019

Best

By hengfengtian@126.com

•

Dec 1, 2018

深入浅出

By Jhon S

•

Nov 25, 2018

cool

By 景小飞

•

Oct 17, 2018

感谢老师

By YixiangWang

•

Aug 4, 2018

值得推荐

By xiehuateng

•

Jul 3, 2018

nice

By 雷后超

•

Apr 20, 2018

很好很好

By Yicheng Y

•

Apr 4, 2018

BEST

By Bảo Đ

•

Feb 28, 2018

Nice

By Nathan W

•

Jan 26, 2018

Done

By Aaron Z

•

Jan 23, 2018

good

By Цхондия Г А

•

Jan 1, 2018

cool

By 孔昕

•

Dec 14, 2017

清晰易懂

By blaze s

•

Dec 12, 2017

nice

By skyfacon

•

Dec 6, 2017

nice

By Pragadheeswaran S V

•

Nov 27, 2017

Best

By 刘其波

•

Nov 26, 2017

good

By Hugsy W

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Nov 5, 2017

good

By 华卓隽

•

May 13, 2019

666

By Kaustubh D

•

Oct 7, 2018

Wow

By 仇艺蒙

•

Mar 23, 2018

100

By Sweta c

•

Aug 23, 2020

ok

By Ming G

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Aug 26, 2019

gj

By Pham X V

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Nov 6, 2018

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