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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.

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4801 - 4825 of 5,570 Reviews for Convolutional Neural Networks

By Kostas C

Aug 29, 2020

Some key points for not giving 5 stars (lack of questions during lecture, assignments too easy). But, as always Andrew is an excellent teacher!

By Akshay K

Oct 30, 2019

The course is complex, it must teach more examples of coding and practice overall the content of this course requires very high level practice.

By Mike B

Mar 26, 2018

I really like the videos, and the content covered. It would be nice if the large blocks of videos were separated by some programming exercises.

By zlb

Jan 12, 2018

The coding assignment is a little hard for people who don't know much about tensorflow and keras. But on the whole, this is a brilliant course.

By Andrey Z

Dec 3, 2017

There is a great course for many people to begin working with the such an enigmatic stuff as cnn! Thank you very much for creating this course!

By Venkata R P

Nov 10, 2019

Wonderful and well-structured course! Following instructions on jupyter notebook is confusing, had to go back and forth to do the assignments.

By Bourget R

Oct 28, 2018

Grading assignments troubles are annoying especially after such a good teaching it is really frustrating. nevertheless it's an amazing course!

By Bas

Dec 30, 2017

Interesting course, but the assignments were sometimes disappointing. There were bugs/issues, and it wasn't very clear how to deal with these.

By Henry L

Jun 15, 2020

The coverage of the material is excellent. The only downside is that there is little support for the exercises and can be quite frustrating.

By XL Y

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 kareem s

Sep 21, 2023

the labs need to be little bit better with more code to write and better explaination in the later courses because i am still struggling :(

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.

By APOORV S

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.