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

4.9
stars
42,318 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.

OA

Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

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2126 - 2150 of 5,613 Reviews for Convolutional Neural Networks

By Arturo G

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Aug 19, 2022

Is a good option to learn cnn with theory and practical activities :)

By MOHIT Y

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Jan 29, 2022

It is the right course for beginning your journey in computer vision.

By Muhammad A

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Aug 14, 2020

Best course of the specialization so far. A lot of learning outcomes.

By Chandra Y

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Aug 7, 2020

Great insights into NN behind self driving cars and face recognition.

By MIGUEL S I

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Jun 29, 2020

I really liked the course. I learned a lot about convolution networks

By Thierry L

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Jun 23, 2020

I think , it could be interesting to merge course and coding session.

By Cem G

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May 15, 2020

Great course to understand the way CNN computer vision works. Thanks!

By Fahim F

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Apr 21, 2020

Excellent instructor, but the programming assignments are very tough.

By Clément P

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Apr 20, 2020

Really nice course. Everything's well explained and well illustrated.

By Jose P

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Feb 18, 2020

It took me a while to sit down, but honestly, this is a great course.

By Vladimir Z

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Oct 6, 2019

The hardest course of all. 4D matrices blown my mind ;) but I made it

By Dawood h

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Jun 10, 2019

highly recommended for computer vision and image processing in ML Way

By Aman K S

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Feb 9, 2019

Covers Computer vision from the basics.One of the best courses so far

By Devang S P

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Oct 8, 2018

Very well designed to produce it competent for development induction.

By Leonardo L

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Oct 7, 2018

Very interesting applications such as car detection or style transfer

By Michael A W

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Aug 30, 2018

Great course, either for new learners, or for review if you are rusty

By Mostafa Z

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Aug 12, 2018

truly it's a great course to learn from .. academically and practical

By chamith m

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Jul 14, 2018

Excellently organized material and superb explanation of the material

By Shantanu S

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Jun 18, 2018

Please fix the problem with jupyter notebook. it keeps disconnecting.

By Narendra P

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Mar 15, 2018

It was this course which let me know how deep this field really goes!

By wenzhu z

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Feb 25, 2018

sometimes it's not very clear, but thanks for sharing your knowledge.

By Umang S

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Dec 14, 2017

Extremely helpful in getting the insights of working of a CNN. Kudos.

By Vagner Z C P

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Mar 16, 2022

Great foundational understanding and real-world applications of CNN!

By Jason G

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Dec 18, 2021

Well structured introduction to the fundamentals of Computer Vision.

By Taras S

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Oct 31, 2020

Appreciate so much for detailed comments in programming assignments.