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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

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.

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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1076 - 1100 of 5,613 Reviews for Convolutional Neural Networks

By Shubham S

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May 29, 2021

Best Course for developing intuition about convNets , Computer Vision, Object Detection, Face Recognition. Thanks to Instructors and Coursera

By Juan C J

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Feb 4, 2021

Excelent course for getting the fundamentals and practical aspects of Convolutional Neural Networks and Computer Vision. 100% Recommendable!!

By Yusa L

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Nov 3, 2020

Great to learn so many state of the art Computer Vision applications, the lab implementation helped a lot understanding of the hard concepts.

By Arunabha D

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Jul 16, 2020

Thank you Andrew for the knowledge you have shared on this course.It was very interesting and I could surely say I know CNN quite well now :)

By Tien N V

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Jun 28, 2020

"Very helpful" is the word I think in my head and I actually

know something brand new in my favorite field. Thank Andrew Ng and co-lecturers.

By Khushi S

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Jun 22, 2020

Great experience, learnt some really interesting things in detail and implemented them too.

some very complex concepts were cleared very well.

By Priyank J

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Apr 30, 2019

the course is well laid out and the speed is really good to not overload people with complex stuff but are well served with interesting stuff

By Tejashwi S

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Sep 19, 2018

I would love to extend my gratitude towards Sir Andrew Ng for this course. Simple explanations and interactive exercises makes this the best.

By Arun K S N

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Jan 30, 2018

Yet another amazing course from Andrew Ng ! Various complex topics associated with CNN have been explained in a clear and understandable way.

By Tamilarasu S

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Jan 26, 2018

CNN and some of the advanced research in CNN is explained in four weeks. Also it has lot of academic papers referenced which are really good.

By Vladimir V

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Nov 30, 2017

An awesome course! Andrew is completely brilliant as usual! I especially liked the Neural Style Transfer homework. Thanks for a great course!

By Bilal I

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May 9, 2022

simply the perfect course to understand and implement CNNs

many thx to the prof Andrew Ng, your style in preseting the idea is very pleasant

By Daniel B

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Feb 5, 2021

Good overview of ConvNets with real-life application examples, and pointers to literature for those who want to know more. Excellent course.

By Swati J

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Oct 22, 2020

In this course, the algorithms of research papers are explained, which prooved to be very useful to study the research papers in this domain

By Sergio A R

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Jan 28, 2020

Crystal clear presentations and nice coding exercises. I learnt a lot. Thanks to Andrew and his team! Keep going with these courses, please.

By Soroosh R

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Jan 15, 2019

The course content is really good, well organized and presented. However, I received lots of (kernel) errors while working on the notebooks!

By Nhuan P M

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Aug 29, 2018

This course is very helpful and understandable. But there are some problems with the assignment notebook. Sometimes, I can not access to it.

By PARTHA M

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Apr 14, 2018

This was a very tough course. I thoroughly enjoyed it. Now, I need to practice all that I learnt. Very grateful to Mr. Ng. He is just great.

By Tyler K

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Dec 18, 2017

This was the most enjoyable of the deep learning courses. They picked some great material and it was fun to read all the associated papers!

By Edward C C

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Nov 30, 2017

This is a great course in Deep Learning. I learn most from this course over the other classes. Most practical in image and face recognition.

By Atharva P

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May 16, 2021

The course works on the finest details needed to compete the world. Still few bugs to be resolved in the assignments. Overall, good course.

By Kamran K

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Apr 11, 2021

I would prefer to be the student of Sir Andrew Ng.

I salute Sir Andrew for encouraging me to follow him till to complete the specialization.

By Mohammad H

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Jan 18, 2020

This will help me a lot for the library I'm building for a project in my PhD.

The topics discussed the way it was discussed it was marvelous

By Olga L

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Jan 2, 2020

Excellent course, with great documentations and examples. Maybe they can help us to find new goals in create convolutional neural networks.

By Gil E B

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Aug 11, 2019

I wasn't expecting to implement a low-level design of ConvNets, but thanks to this,

I began to understand more of its underlying intricacies