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

4.9
stars
42,383 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

JM

Sep 20, 2020

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

FT

Apr 7, 2021

Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

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4401 - 4425 of 5,620 Reviews for Convolutional Neural Networks

By do m T

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Jan 9, 2020

Good

By 陈凌云

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Dec 21, 2019

nice

By wangzyhust

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Nov 2, 2019

nice

By 尤玥

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Sep 17, 2019

nice

By Gennaro F

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Sep 16, 2019

good

By Gowtham

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Jul 31, 2019

Good

By Sasikumar G

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May 23, 2019

Good

By chen j

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May 18, 2019

good

By Shuo J

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Mar 15, 2019

good

By Shirish P

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Mar 6, 2019

Best

By hengfengtian@126.com

•

Dec 2, 2018

深入浅出

By Jhon S

•

Nov 26, 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 21, 2018

很好很好

By Yicheng Y

•

Apr 5, 2018

BEST

By Bảo Đ

•

Feb 28, 2018

Nice

By Nathan W

•

Jan 27, 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 13, 2017

nice

By skyfacon

•

Dec 6, 2017

nice

By Pragadheeswaran S V

•

Nov 27, 2017

Best