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

4.9
stars
42,296 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

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.

RS

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.

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4901 - 4925 of 5,610 Reviews for Convolutional Neural Networks

By Daniel F

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Jan 4, 2020

I would have appreciated a little more depth in the programming exercises but otherwise a good introduction to the topic.

By Tung N

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Jan 14, 2018

The grader is unfortunately still not fixed for triple_loss function even though the comment in the notebook was correct.

By Varun

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Feb 6, 2021

I will rate it as 4 stars. Because the course has just one lacking point It does not give enough insights in Tensorflow

By Andres E P L

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Jul 9, 2020

Please fix some bugs in the graders script. Just for that the course is not perfect, otherwise the content was amazing.

By Raja S C

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Oct 15, 2020

Initial modules are very good, but last few modules are abstract in nature. Not getting grasp on the concepts clearly.

By Alex A

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Jul 8, 2019

Cours material is great. However, videos seem to be produced a bit less carefully than previous deeplearning.ai videos

By Lucas O S

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Dec 26, 2017

Content is great. Andrew Ng is a very good instructor. Still many issues to fix in videos, quizzes and projects though

By Fredrik C

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Aug 2, 2019

This was the first of the ai courses that did not feel super clear to me. More intuition videos would have been nice.

By Justin S

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Jul 31, 2019

Great Material but some frustrating bugs in the programming assignments and choppy videos that need to be cleaned up.

By Arjan G

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Jan 11, 2018

Very good and interesting course, but the some tweaking is needed to remove the errors in the programming assignments

By SALÄ°H T A

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Apr 2, 2020

I't was hard to understand some concepts sometimes. I was waiting for a detailed explanation on Car Detection system

By Lanchen S

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Feb 21, 2018

I would only rate 4 for this course. Because the first three is really well structured and this one is kinda messed.

By Michel M

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Dec 23, 2017

The only complaint is, that my excercises have been locked - I wanted to review them and do some further experiments

By awan r

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Nov 7, 2018

This course was really helpfull and I learned a lot . Thanks to the respected teachers of this course and coursera.

By Adit K

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Oct 29, 2018

Faced Some challenge with the Course Assignments that was too time consuming but overall the course was pretty good

By Guofan W

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Apr 20, 2018

If you can fix the bugs of the last homework, it would be perfect. Anyway, the information on CNN is really useful.

By Franck B

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Jan 8, 2018

Great and deep course, CNN are definitely a beast.

Disappointing to have bugs in the final exercise when submitting.

By Slava S

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Dec 4, 2020

The programming exercises are not very good, sometimes they are too easy and sometimes they are not clear at all.

By Prince G

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Jan 28, 2020

Amazing course with great details. It would have been better if details of back propagations were also explained.

By Stephen H

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Dec 31, 2018

An excellent course from Andrew Ng, some problems with the stability of the python notebook platform on Coursera.

By Peiwei C

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Dec 4, 2017

Excellent lecture and materials. Would have given a 5 stars if the issue with the grader could be fixed in time.

By Vishnu P

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Oct 6, 2020

Corrections preferably should be before the video and not after. Any way to visualize graph in Wk4 assignment.

By William L

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May 1, 2020

Assignments can be set up in a slightly different way. Although I do not see how. So maybe ignore the comment.

By Apostolos N

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Jan 7, 2022

Very well structured course.

I don't like that you can't access jupyter notebooks after completing the course.

By Хохлов М Р

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Jul 24, 2020

maybe to complicated. I still have no confidence that i understand all that information right.

i feel bad ((((