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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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4051 - 4075 of 5,610 Reviews for Convolutional Neural Networks

By Hoang L

•

Jan 17, 2023

Excellent.

By Teng L

•

Jan 8, 2023

Thank you!

By Sifal K

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Nov 26, 2022

Thank you.

By kaustav g

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Sep 21, 2022

Wonderfull

By Debanka K

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Sep 16, 2022

Excellent

By Lirong W

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Jul 28, 2022

Wonderful!

By Mustafa M

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May 6, 2022

Very Good!

By 薛舒心

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May 3, 2022

Thank you!

By 徐洁

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May 3, 2022

Thank you!

By Minh T N T

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Apr 28, 2022

Goo Course

By larawang

•

Apr 10, 2022

Thank you!

By 浪岡清也

•

Mar 17, 2022

very nice!

By Zelin W

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Jan 20, 2022

Thank you!

By Qi S

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Jan 19, 2022

Thank you!

By Chen

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Jan 9, 2022

Thank you!

By Xin Y

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Jan 3, 2022

Thank you!

By Shaofei Q

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Dec 3, 2021

Thank you!

By Yi C

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Oct 24, 2021

Thank you!

By Quan Y

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Oct 23, 2021

Thank you!

By Sharon F

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Oct 3, 2021

Fantastic!

By 胡郢浩

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Sep 12, 2021

very good

By Shammunul I

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Mar 4, 2021

Great one!

By Alex K

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Nov 29, 2020

excellent!

By Artur S

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Nov 22, 2020

Brilliant!

By Dong D N

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Oct 8, 2020

Brilliant!