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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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4851 - 4875 of 5,610 Reviews for Convolutional Neural Networks

By Kai W

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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May 27, 2020

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

By Ryan D

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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

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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

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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

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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

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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

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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 (

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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

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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

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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

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Jan 24, 2018

Triple loss correction is wrong.... Overall very good presentations and amazing content! Thanks for the opportunity to learn that.