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

41,207 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


Dec 11, 2019

Great Course Overall

One 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.


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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4876 - 4900 of 5,441 Reviews for Convolutional Neural Networks

By Oleksandr S

Nov 26, 2017

Lectures are excellent as always. Practical exercises require more enhancement.

By Victor I

Feb 15, 2021

Good course but documentation/links (especially for TensorFlow) need updating.

By Brett A C

Dec 24, 2019

The videos could stand a bit of editing, but the content is great nonetheless.

By Michael L

Jul 13, 2018

Much better value than course 3, but assignment instructions could be clearer.

By Hasan A

Jan 20, 2018

I am not very interested in this topic and the assignments were very very hard

By Dmitry I

Nov 24, 2017

Great course! However, it could be nice to write more code with less guidance.

By Kush S

Jul 8, 2020

Having the ans provided in the quiz would help better understand the concepts

By Aditya B

Jan 23, 2019

More help and material should be provided to complete programming assignments

By Th R

Jan 15, 2020

Too long. Can be shorter by removing some repetitions with previous courses.

By Marius C

Mar 12, 2019

I think some subjects like the face recognition deserved a bit more details.

By Vittal G

Mar 10, 2019

This was indeed a tough course. It took a while to understand some concepts.

By Jorge C

Jun 30, 2018

Excellent course with a lot of applications of convolutional neural networks

By Xiaojie H

Mar 25, 2018

More Tensorflow related introductions in the program assignments are needed.

By Yevgeniy D

Nov 18, 2017

The course is good, but the grader is something that makes your hair go grey

By Abrar H

May 28, 2020

The course content is very good. but I think assignments need to be harder.

By Vysakh R

Sep 27, 2020

It was tough. Tensorflow knowledge is a must prerequisite for this course.

By Narayanan S

Mar 15, 2019

Very good introduction. I wish the assignments were a bit more challenging

By Alex N

Dec 27, 2017

Please fix the grader in Week 4 - Face recognition - Triplet loss exercise

By Pierrick R

Feb 27, 2021

I think that the exercices are really easy, you have to change this part.

By Ahouba C A A

Jun 24, 2020

I wish there had been more explanations something regarding propagations.

By Kalyan A

May 2, 2020

one less star because you are not giving me any material for this course.


May 1, 2020

Overall course was good. Some videos are lengthy, people might get bored.

By Christian A

Feb 26, 2019

excellent course. the jupyter notebooks were behaving erratically though.

By Amit K

Apr 14, 2018

this one was hard to clear thanks for wonder full tutorials and questions

By Fereydoon V

Feb 26, 2018

Tensorflow and Keras tutorials need improvement and further explanations.