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

4.9
stars
40,437 ratings
5,358 reviews

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

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.

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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4676 - 4700 of 5,334 Reviews for Convolutional Neural Networks

By Logan M L

Apr 8, 2019

Could use some work re-updating the notebooks to make coding as seemless as course 2 in this specialization.

By vikas v

Sep 2, 2018

Mentors seems not so active on respond on questions. Otherwise this was very good course to learn about CNN.

By wish

Jun 25, 2018

I nice course, but too easy, assignments are very simple, I think more coding should be left to the student.

By Tushar B

Jun 20, 2018

Had submission issues with the assignments. I had to submit without verifying the outputs via hit and trial.

By Ivana T

Nov 29, 2017

Overall great course. Room for improvement - programming assignments could be more difficult and less buggy.

By Abhishek S

May 31, 2020

Great learning assignments but I wish there was at least one assignment where everything was not spoon fed.

By Hieronim K

Dec 18, 2019

Informative but very low production value with unedited, uncut videos with lots of frustrating repetitions.

By Marth

Sep 30, 2018

Only one more blank line in the start of the cell waste me one and a half hour to find the amazing bug...XD

By Kat H

Dec 1, 2017

Overall a great course, just some bugs with the assignment grader that made for quite a bit of frustration.

By Michael A

Mar 26, 2021

elucidating,concept explain in an easisy to understand manner ,thanks to the subject matter prof Andrew Ng

By Muhammed A Ç

Sep 30, 2020

That course is quite beneficial the only problem, except than first week, course could be a more detailed.

By Mata P

Jul 26, 2020

The course overall was very helpful but i think that the there should be more clearance in the assignments

By Manish S

May 27, 2020

Thanks Coursera, Awesome experience which help to clear many doubt like one object detection bbox encoding

By Raphael P

Dec 3, 2017

Missing some questions in between videos. Some assessment are not as well written than previous lessons...

By Dag W

Nov 21, 2020

Great course with a fast-track into the world of CNN's. A little bit raw around the edges, but effective.

By André E

Jul 24, 2020

It would be more interesting if the programming exercises utilized the more recent version of tensorflow.

By Rahul K

Jan 24, 2020

Things were really interesting..It would be great if there were some more topics and details of the model

By XINQI

May 18, 2019

Please do not use too strict rules to check the assignment, I.e. IOU Func, it's a waste of time to debug.

By Carlos L

Feb 24, 2018

The course is great but the support of the mentors is zero and there are several typos in the notebooks.

By Vamsi V

Feb 10, 2019

difficulty in learning program it there any optional videos to learn those programming like keras etc..

By Cesar B

Jul 8, 2018

A couple of missunderstading in the assigments but you can learn a lot about convnets and that is huge!

By Ievgenii K

Dec 3, 2017

Cover some of topics and give good overview, but skip other interesting moments (like GAN and CapsNet).

By Yash G

Nov 29, 2018

A good course, could be great if we keep the course updated with current state of the art developments

By Eric K

Feb 1, 2018

I don't know the triplet loss part in the final PA. why it's should be axis = None

other PAs are great!

By Bhuvan G

Aug 17, 2020

The graded assignments are a bit buggy and need to be corrected. The quality of the content is great.