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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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4876 - 4900 of 5,610 Reviews for Convolutional Neural Networks

By Estapraq M K

Jul 9, 2018

It is great, but it had some problems in the some of the assignments submissions! Hope Coursera can fix it for the next students.

By Robert F

May 24, 2021

Great presentation from Andrew Ng as usals. Sometimes a little too theoretical approach, some more concrete examples could help.

By Andrea

Oct 9, 2019

The programming exercise of YOLO was not very clear, both the notation and the implementation. Otherwise, good couse. Thank you!

By Václav R

May 2, 2019

Good introductory course. A bit more focus on transfer learning and using e.g. only a part of the networks would have been nice.

By xiaoquan h

Jan 27, 2019

the content of course is quite good ,expecially the quiz and assignment.

But the server of programming assignment is quite slow.

By Aadesh N

Nov 12, 2017

Excellent course with great materials. In my view, the difficulty of programming assignment needs to a bit harder that it is now

By Ryan L

Jun 12, 2018

Great content but the slow speed and iffy stability of the jupyter notebooks makes the assignments a bit of a pain to complete.

By Alex

Jan 1, 2018

Some bugs in grading will make you to waste 3-4 hours of time, which is frustrative. All except this is quite good and valuable

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