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

4.9
stars
42,300 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

RK

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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4826 - 4850 of 5,610 Reviews for Convolutional Neural Networks

By Jk L

Dec 17, 2017

It would be better if some gpus were provided, or the experiments of style transfer were a little painful. Anyway, the course itself is wonderful!

By Georgezhu

Apr 7, 2021

Pretty good! Although this class is very good and easy to learn, something in this course is so simple that some key points are not well claimed.

By Suchitha L D

May 26, 2020

Good content but the labs should be upgraded to Tensorflow 2. Some quiz questions are bit vague and feedback isn't helpful to understand mistakes

By mahdichalaki

May 26, 2020

Some videos are not carefully edited and there the teacher repeats some sentences.

But overall, the materials and of course Andrew Ng are perfect.

By Arturo M

Aug 29, 2018

Assignments are not always consolidating acquired knowlegde, due to the distance between implementation from scratch and using predefined models.

By Michalis F

Feb 16, 2018

Very nice course.

assignments are very high level though and just help in giving a taste of convolutional neural networks.

lecture notes are great

By Roberto J

Nov 21, 2017

A bit buggy some of the exercises, some of the videos and some of the course notes, but the material is excellent and the learning is invaluable.

By Galley D

Dec 2, 2017

Amazing course that breaks down the complexity of CNN

Some assignment have issues yet the forum displays significant resources to help solve them

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