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

4.9
stars
42,029 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

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

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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4376 - 4400 of 5,570 Reviews for Convolutional Neural Networks

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 Hao 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

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

Aug 26, 2019

gj

By Pham X V

Nov 6, 2018

:

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By Miguel Á G G

Jul 30, 2019

.

By Gilles A

Aug 1, 2018

V

By shuhaohe

May 22, 2018

g

By Yujie C

Feb 6, 2018

By Rich B

Nov 28, 2017

G

By Александр В

Nov 16, 2017

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