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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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4851 - 4875 of 5,570 Reviews for Convolutional Neural Networks

By Thành C V

Nov 17, 2019

I really like this course. It gives me a huge of fundamental knowledge about CNN. Special Thank to PhD. Andrew Ng and mentors.

By Victor v d B

Jan 14, 2018

Superb content, and a great course! Unfortunately issues with the assignments keeps this from a 5 star course when I took it.

By Galib M

Feb 21, 2020

Thanks for another well organized course. It would be nice if there were more details about building and training the model.

By Jonathan H

Aug 16, 2020

Good and very comprehensible, but does not go into depth. Particularly, homework assignments should give better practice...

By Tōnis S

May 27, 2020

Great course. Maybe videos and assignments we not as good as in first three courses, but still very informative and useful.

By Shivam S

Jul 2, 2019

Good Course but they should also teach how to implement transfer learning and how to load the dataset.

Anyway a good course.

By Gaetan J d B

Jun 9, 2019

awesome content. some issues with assignments but nothing major...

Continuing on the next course, like them a lot! Txs guys.

By Thomas

Jan 15, 2018

The course content is very interesting.

Only 4 stars because of the frustration due to the bugs in week 4 graded assignments

By Sekib O

Dec 31, 2017

I have learned a lot but still don't feel confident when it comes to building CNN from scratch or choosing hyperparameters.

By Jörg P H

Nov 24, 2017

great course again, but despite updated notebooks still some errors. Thanks to the community for communicating and sharing.

By Edward D

Nov 20, 2017

The course is great, Andrew explains everything in CNN very clearly. But the assignment and grader really need some update.

By Dr M B N M

May 26, 2020

Learnt CNN with practical examples. But it would have been good if tensor flow, keras part also might have been explained

By Ankur B

Apr 8, 2020

Awesome course! I would highly recommend this to anyone who is an AI enthusiast specially in the field of computer vision.

By Adit S

Nov 30, 2017

It would have gotten five stars, but grading problems and other technical difficulties on the backend were very prevalent.

By ARJUN K V

Aug 10, 2020

an awesome and necessary course for deep learning aspirants. Taught well and thanks to all the team for this opportunity.

By Lech G

Jun 19, 2020

The course is very good, but I find that the mixture of numpy, tensorflow and keras in the assignments is quite onfusing.

By Simon G

Apr 25, 2020

I still love andrew, my only problem with this course was that it was quite shallow. There were a lot of editing mistakes

By Daniel F

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

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

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

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

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

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

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

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.