Chevron Left
Back to Convolutional Neural Networks

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

4.9
stars
39,709 ratings
5,253 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

RK
Sep 1, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

RS
Dec 11, 2019

Great Course Overall\n\nOne 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.

Filter by:

5176 - 5200 of 5,225 Reviews for Convolutional Neural Networks

By Sandeep K C

Dec 28, 2018

The quality of some of the graders e.g. IOU is poor. One cannot make out what exactly is it checking

By Igor M

Oct 17, 2019

Disappointed by the quality of notebooks, which often disconnect and lose all the code you wrote.

By Shuhe W

Jun 8, 2019

The course assignment parts have many errors, I have to fix it myself. That's silly.

By Bernard F

Dec 13, 2017

Good content, but quite a bit of technical work is needed to present this better.

By Ryan B

Jan 2, 2020

for goodness sake "your didn't pass the test" isn't feedback for notebook grades

By Coral M R

Jun 7, 2019

Dificultades en la hoja de tareas de Face Recognition que deberían solucionar

By Jason K

Dec 13, 2017

The content was good, as usual, but week 4's quiz was pretty buggy.

By Mike B

May 7, 2018

Good course but lots of technical issues with the assignments.

By Kishan

Feb 13, 2018

The notebooks were too simple. And the grader was not working.

By Stéphane P

Mar 30, 2019

Videos are good, but exercises are really confusing

By chao z

Feb 22, 2018

content good, but assignment is in poor quality

By hossein

Jul 19, 2020

The structure of the assignments is not good

By Ankur S

Dec 30, 2019

Programming exercises have bugs

By borja v

Aug 22, 2019

unclear content...I'm sorry

By Alex A K

Sep 28, 2019

Numerous technical issues

By Mostafa A

Dec 16, 2017

Assignement: Face recognition for happy house was not happy at all

it took me 4 attempts to pass.

triplet_loss function you need to submit incorrect answer to pass. to get correct answer you need to have axis=-1. Bu to pass you have to take it out.

I hope you guys fix to stop more people to waste there time.

Not happy at all.

By Matteo V

Jun 6, 2021

I​ took the basic ML course and now am taking all the Deep Learning courses. This is by far the worse course so far. Assignments are very unclear. Even explanations are less linear than in previous courses. Support is now on a different platform and not directly on Coursera. I would give it a negative grade if I could.

By Martin B

Dec 30, 2017

Lectures were good, but the assignments have major problems with the grading. On several problems, you have to put in an incorrect solution in order for the grader to accept it. This have been reported by a number of students in the forum. It needs to be cleaned up.

By Ed G

Feb 7, 2021

This course is much poorer than the previous courses in this series. Much of the content was at a very high level without sufficient detail. More explanation to make a concept clear was lacking. Hope for some improvement to the content for future learners.

By Ransom E

Dec 14, 2017

Video clips need to be re-edited. There are "retakes" that are back to back, so you will often hear phrases and sentences repeated. Different program assignments have bugs in them so that you have to submit the WRONG answer in order to pass the grader.

By EZ

Jan 29, 2018

The grader is a joker. And the load on the server makes submission and grading taking forever. People have been complaining for months and not getting any help and not being fixed after such a long time is not excusable.

By Chris L

Jan 28, 2018

Interesting material but very sloppy in terms of attention to detail. The videos frequently have editing errors and the assignments often contain weird bugs that go uncorrected for months on end.

By Boquan Y

Aug 2, 2020

Cannot reset the deadline because of the garbage server. I paid 49 dollars per month but have no rights to access my assignment. I post my issue on the discussion forum but no one responded.

By punit v

Jun 10, 2019

There has been problem with grading of IoU function since last one year as of 10-06-2019. Nobody care to fix it. Once courses are created its left to earn unlimited money nothing else.

By Roy H

May 17, 2021

Very disappointed in this compared to the earlier courses in the certificate. The assignments are incredibly dated, to the point that the links to docs are all broken now.