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

4.9
stars
42,548 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

SH

Aug 6, 2019

Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.

FH

Jan 12, 2019

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

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4376 - 4400 of 5,641 Reviews for Convolutional Neural Networks

By Prabesh G

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Apr 6, 2019

great

By Vital

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Mar 25, 2019

Cool!

By OOI K A

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Sep 11, 2018

狈颈肠别！

By shenzhonghua

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Sep 3, 2018

Great

By xnuohz

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Aug 26, 2018

nice!

By Ahmed G

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Jul 16, 2018

Great

By shubham s

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Apr 26, 2018

great

By slim s

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Apr 7, 2018

great

By 陈尚伟

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Mar 4, 2018

狈驳大法好

By lalaqingla

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Feb 14, 2018

good!

By HanabiMock (

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Feb 9, 2018

Great

By Ahmed M A

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Feb 5, 2018

great

By Benjamin C - 陈

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Feb 4, 2018

深入浅出！

By 蒋臻

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Feb 1, 2018

Great

By Sumanth N

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Jan 1, 2018

Great

By jyning

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Dec 10, 2017

good!

By Xu Z

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Nov 12, 2017

great

By Lorendw7

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Sep 19, 2024

good

By ???

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Aug 12, 2024

good

By 051Ayman H

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Jul 27, 2024

nice

By Sayali J

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Dec 20, 2023

best

By Deleted A

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Jun 14, 2023

good

By Anshika P

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Oct 6, 2022

NLP

By Nguy?n Q M

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Dec 23, 2021

good

By Thuy N T

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Aug 2, 2021

good