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

4.9
stars
42,419 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 12, 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

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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3601 - 3625 of 5,625 Reviews for Convolutional Neural Networks

By 冬冬汪

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Feb 20, 2020

Really nice course

By Naveen S

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Feb 17, 2020

Awesome content !!

By ABDUL W M

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Jan 30, 2020

very systematic :)

By Alex K

•

Oct 2, 2019

Excellent course!!

By Ethan

•

Sep 10, 2019

Really interesting

By wubo

•

Mar 31, 2019

great, I love it !

By Shi Y

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Feb 16, 2019

非常轻量级，点到为止，但依旧值得一学

By Kaiqiang W

•

Feb 13, 2019

Very good course !

By Bhargav P

•

Feb 13, 2019

Simply brilliant!.

By Bukharaev A N

•

Feb 10, 2019

Mr Ng is the best!

By 白思开

•

Jan 28, 2019

Happy!Happy!Happy!

By RAHUL D K

•

Jan 8, 2019

Exceptional course

By Anish R P R

•

Dec 23, 2018

excellent material

By Saichand D

•

Dec 4, 2018

Nice explanations.

By David J

•

Nov 7, 2018

Excellent course!!

By omar a r v

•

Oct 24, 2018

excelente curso !!

By 朱欣宇

•

Oct 13, 2018

Thank you, Andrew!

By Pradipta D

•

Oct 5, 2018

Very good material

By Tom S

•

Sep 30, 2018

All tasks are done

By guanhua m

•

Aug 26, 2018

5 stars for Andrew

By Mohamed C S

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Aug 18, 2018

Very good as usual

By 廖云坤

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Apr 28, 2018

Very nice!Thanks:)

By Pranav R

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Dec 23, 2017

Loved the course!!

By Dan R

•

Dec 4, 2017

Excelent as always

By Kwan-Yuet H

•

Nov 27, 2017

highly recommended