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

41,295 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


Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch


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.

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4701 - 4725 of 5,455 Reviews for Convolutional Neural Networks


Dec 12, 2019

I think perhaps you can add more detailed explaination on Fast R-CNN and so on. Also, I think the homework can be updated to Tensorflow 2.0.

By Андрій Б

Nov 20, 2018

It's very difficult. I believe it can be more simple. But on the other hand maybe when I go through it 2 or 3 times it'll became more clear.

By Manan A S

Mar 19, 2020

Andrew could have explained a few concepts in depth overall a great course though giving an overview of CNN's & deep learning architectures

By Thomas A

Oct 4, 2019

Pretty good course, holds a lot of relevant information.

Though the going into every little detail of doing a convolution is a bit overkill.


Mar 17, 2019

I think Keras should have been used more in assignments. Overall the concepts are illustrated in the videos perfectly as well as precisely.

By Ethan M

Aug 18, 2021

Instructions were clear and videos were well thought out. 4 stars because I had to reference the Documentation for Tensorflow consistently

By Priyansh J

Jan 19, 2020

this course had all the practice exercises and todo assignments with proper lectures and examples to understand even such complex problems

By Kai W

Dec 31, 2017

course is good, homework has bug in week4's homework, meeting expected output is graded wrong, changing to different output got correct.

By Rafał W

Nov 22, 2017

Errors in grading procedure. In many lecture videos you hear that they are consist of many recordings that do not compose one whole thing.

By Russel C

Sep 2, 2019

Would have given it 5 stars but the notebooks were problematic, especially week 4 Happy House. Otherwise, it was a good conv net course.

By Ankit S

Jun 30, 2018

Course content is very good and I found useful but I think Yolo exercise does required some changes. Over all very good, Thanks Andrew :)

By Philip D

Jun 17, 2018

Excellent course material, but the videos are poorly edited and the programming assignments decrease in quality as the course progresses.

By Hristo B

Oct 3, 2018

There was just one minor error in the programming exercises' code. Otherwise very clear and the exercises give one a good understanding.

By Kevin R R M

Oct 12, 2020

Great course regarding a key architecture of neural nets that changed the world. Andrew is really great at explaining concepts, thanks!

By Karthi C

Jul 5, 2018

Could have been longer since a lot more technical details were involved. But give a very good high level understanding of the concepts.

By Bahadir O

Nov 22, 2017

Another awesome course by Prof.Ng! But this time I felt that assignments were poorly designed.. I didn't feel like I was learning much.


Aug 16, 2020

Great module for CNN! Fundamentals understood very well. Did not fully enjoy the assignments. Shakespeare assignment did not work !

By Bjorn J

Oct 21, 2018

Fantastic content, but some of the assignments were a bit confusing. They didn't have quite as detailed of instructions as the others.

By Andrei M

May 7, 2018

The material is great, but the assignments are underwhelming. Would much prefer problem solving to filling in the blanks in the code.

By Tom M

Nov 25, 2017

Auto grader is difficult and needs some work cleaning up the material of the Programming projects. Great Material in terms of content.

By Dipali k

May 27, 2020

I found the course very useful and properly guided through. Especially programming assignments with Notebook were very informative .

By Ryan D

Aug 7, 2019

Overall a good course, but the code for assignments was buggy and unintuitive sometimes, requiring guidance in the discussion forums.

By Benedict B

Aug 19, 2018

Many problems with the homework grading, which costed a lot of time. Please try to verify the quality of the graders in a better way.

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