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

4.9
stars
42,300 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.

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

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2051 - 2075 of 5,610 Reviews for Convolutional Neural Networks

By Raihan K R

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Aug 29, 2018

Among all the Deep Learning Specialization courses, this one is the best.

By Minglu Z

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Aug 11, 2018

So many implementations in assignments!

Also harder than previous courses.

By Fernando D G

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Jun 19, 2018

In line with the rest of the courses. Amazing assignments made with care.

By SHIVAM S

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Jun 19, 2018

Amazing course , Covers all the fundamentals in most explainable fashion.

By X Z

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May 7, 2018

awesome class! Andrew explained things very clear. All state-of-art stuff

By Ting-Shuo Y

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Dec 17, 2017

Thorough and comprehensive explanation with solid and relevant exercises.

By Naresh A

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Dec 12, 2017

YOLO and techniques used in YOLO are explained very nicely.

Thank you Sir.

By Naren B

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Dec 6, 2017

When will Course 5 of Deep Learning Start.........

Waiting for a long time

By Marlon C

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Dec 4, 2017

Great course for introductory theory and practical coding about ConvNets!

By Washing L

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Nov 26, 2017

Very nicely organized class. I learned a lot from it. Thank you Prof. Ng!

By Yi W

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Nov 16, 2017

Quite detailed and up-to-date techniques on convolutional neural networks

By Diego R

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Nov 18, 2020

Andrew Ng videos continue being great and the exercises are well-planned

By Mudith W (

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Sep 3, 2020

Very good course with effective programming assignments

Thanks Andrew Ng.

By yassine t

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Sep 1, 2020

a good course where we learn lot of things about computer vision and CNN

By kameron b

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Jun 14, 2020

very comprehensive. A+ exposure to key concepts. feel ready to go deeper

By Ahmed S

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Jun 12, 2020

High quality course with high quality valuable content. Thanks Andrew :)

By Muhammad M M

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Jan 24, 2020

So beautiful explanation about Convolutional Neural Network Architecture

By Wasiu S

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Jan 17, 2020

I think the programming assignments should be upgraded to Tensorflow 2.x

By vishak b

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Nov 15, 2019

A Wide ranging course on CNNs and Computer Vision. Extremely Good stuff.

By Sarut T

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Nov 12, 2019

very useful ituition but i feel like i still need to pratice more coding

By Kartik S

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Jul 2, 2019

Excellent Course, though programming assignments can be made more tough.

By Viona Q

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Jun 27, 2019

Very informative course. Loved the course materials and the assignments.

By Onur G

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Mar 3, 2019

Great introduction to deep learning! I recommend this course to everyone

By Akash G

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Feb 6, 2019

By Hard Way We Learn CNN..

Awesome Project And Experience..

I want Intern

By 莊雅婷

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Jan 24, 2019

The content is very useful. Prof. Ng's lecture is clear and interesting.