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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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4201 - 4225 of 5,610 Reviews for Convolutional Neural Networks

By Oleksandr P

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Feb 26, 2018

need more

By Nikhil M V

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Feb 15, 2018

Excellent

By Kedong S

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Feb 5, 2018

Very good

By 庄安君

•

Jan 16, 2018

very good

By Jie Z

•

Dec 10, 2017

Excellent

By Enoch C Y S

•

Dec 6, 2017

Very Good

By 姚朴健

•

Dec 2, 2017

very good

By Ho Y C

•

Dec 1, 2017

Excellent

By Alaa A

•

Nov 30, 2017

loved it!

By Andrés R d V

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Nov 25, 2017

very good

By industrious a

•

Nov 21, 2017

excellent

By wangdawei

•

Nov 21, 2017

thank you

By GuangjianHou

•

Nov 17, 2017

通俗易懂，好课程！

By free_siemens

•

Nov 14, 2017

wonderful

By Mark Z

•

Nov 13, 2017

Great one

By Bruce J

•

Nov 3, 2017

非常好，帮助很大！

By Steve M

•

Sep 3, 2024

Perfect!

By Ben Z

•

Apr 15, 2024

Awesome!

By Mohammad K

•

Oct 24, 2022

awesome

By Hoang Q T

•

Aug 31, 2022

Awesome!

By Yahya S A

•

Aug 26, 2022

Great!!

By Stella W

•

Nov 10, 2021

amazing!

By 许启攀

•

Oct 4, 2021

terrific

By 许广峰

•

Sep 14, 2021

perfect

By 谭博予

•

Aug 19, 2021

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