Chevron Left
Back to Convolutional Neural Networks

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

4.9
stars
42,029 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

AV

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

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.

Filter by:

4826 - 4850 of 5,570 Reviews for Convolutional Neural Networks

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.

By Alex T

•

Sep 13, 2023

The class itself is good, but the assignments are overly simplistic. I wish they had a "honors" version with more complex assignments.

By AKUT J R

•

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

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 Vishnu K K 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