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

41,297 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


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.


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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4726 - 4750 of 5,457 Reviews for Convolutional Neural Networks

By Nabham G

Jun 17, 2020

Pretty difficult to implement the models but a good course overall. Discussion forums were super helpful for the course assignments.

By Niklas V

Nov 20, 2018

Exceptional course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

By Rodrigo N S

Feb 11, 2021

A great course, to be sure, but you don't really learn the more advanced applications fully. You do, however, get the gist of them.

By Tushar G

Jun 26, 2020

It was a great course. My only issue was that, none of the quizzes had any relevant explanation. If you could incorporate the same.

By Vishnukumar K

Sep 12, 2018

As usual, Dr. Ng is awesome as ever but I felt the course to be a little too advanced and tougher to visualize concepts in my head!

By Akhtar H

Apr 22, 2021

One of the best course of Deep Learning specialization. Excellent Material was prepared and delivered in great style of teaching.

By Peregrine D

Oct 6, 2019

Overall great coverage of CNNs. Just think it's worth some more time getting dirty with the networks and building them with Keras.

By Alvaro S

Jan 24, 2018

Triple loss correction is wrong.... Overall very good presentations and amazing content! Thanks for the opportunity to learn that.

By Estapraq M K

Jul 9, 2018

It is great, but it had some problems in the some of the assignments submissions! Hope Coursera can fix it for the next students.

By Robert F

May 24, 2021

Great presentation from Andrew Ng as usals. Sometimes a little too theoretical approach, some more concrete examples could help.

By Andrea

Oct 9, 2019

The programming exercise of YOLO was not very clear, both the notation and the implementation. Otherwise, good couse. Thank you!

By Václav R

May 2, 2019

Good introductory course. A bit more focus on transfer learning and using e.g. only a part of the networks would have been nice.

By xiaoquan h

Jan 27, 2019

the content of course is quite good ,expecially the quiz and assignment.

But the server of programming assignment is quite slow.

By Aadesh N

Nov 12, 2017

Excellent course with great materials. In my view, the difficulty of programming assignment needs to a bit harder that it is now

By Ryan L

Jun 12, 2018

Great content but the slow speed and iffy stability of the jupyter notebooks makes the assignments a bit of a pain to complete.

By Alex

Jan 1, 2018

Some bugs in grading will make you to waste 3-4 hours of time, which is frustrative. All except this is quite good and valuable

By Thành C V

Nov 17, 2019

I really like this course. It gives me a huge of fundamental knowledge about CNN. Special Thank to PhD. Andrew Ng and mentors.

By Victor v d B

Jan 14, 2018

Superb content, and a great course! Unfortunately issues with the assignments keeps this from a 5 star course when I took it.

By Galib M

Feb 21, 2020

Thanks for another well organized course. It would be nice if there were more details about building and training the model.

By Jonathan H

Aug 16, 2020

Good and very comprehensible, but does not go into depth. Particularly, homework assignments should give better practice...

By Tōnis S

May 27, 2020

Great course. Maybe videos and assignments we not as good as in first three courses, but still very informative and useful.

By Shivam S

Jul 2, 2019

Good Course but they should also teach how to implement transfer learning and how to load the dataset.

Anyway a good course.

By Gaetan J d B

Jun 9, 2019

awesome content. some issues with assignments but nothing major...

Continuing on the next course, like them a lot! Txs guys.

By Thomas

Jan 15, 2018

The course content is very interesting.

Only 4 stars because of the frustration due to the bugs in week 4 graded assignments

By Sekib O

Dec 31, 2017

I have learned a lot but still don't feel confident when it comes to building CNN from scratch or choosing hyperparameters.