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

4.9
stars
42,317 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

OA

Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

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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526 - 550 of 5,613 Reviews for Convolutional Neural Networks

By Jose G P R

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Dec 19, 2017

Step-by-step convolutional networks are presented. It is excellent learning to construct the convolutional networks in the lab. I read too much about these type of neural networks, but no one has me shown before how to build them

By nitin k k

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Dec 15, 2017

great explanation, great examples , great assignments , nice support and the most important thing is how easily andrew sir has explained the complex topics of deep networks . Its an honor to learn from such a great mentor. Thanks

By Jean M A S

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Dec 10, 2017

It's surprising how the team deeplearning.ai stay consistent in the quality of the course given. Highly recommended. Maybe the best course in the specialization so far, Pr Andrew Ng has a gift to make something complicated plain.

By Pushpendra G

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Oct 3, 2020

We can not describe how awesome these courses are! We are very much fortunate to see these time where everything is available and high-quality material can be accessed from anywhere. Thanks to Coursera Team and to Andrew Ng Sir.

By Evan C

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May 28, 2018

Allows anyone with a high school background in math to understand ideas behind some of today's most prevalent technologies. Thank you for taking the time to create this course from someone who now knows what to have a career in!

By Edward T

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Jul 12, 2020

Fantastic introduction to CNNs. Made me comfortable with the concepts and math regarding the various architectures. No doubt, when I revisit these concepts in the future, it will come back rather easily. Computer vision is fun!

By Alex H

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Jun 13, 2018

Some rough spots here and there with the homework grader, but overall the most useful course I've taken on Coursera in terms of exposure to new ideas from a different domain (images) that I can transpose to my own field (text).

By Chunduru G V S P

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May 25, 2020

Convolutional Neural Networks are very interesting. Andrew ng explained in detail with good assignments helped a lot. This course covered some of the emerging sectors in present world using research papers. Thank you Coursera.

By Piyush A

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Oct 13, 2019

Again an amazing course taught by Andrew Ng. The way he explains the basics of the concept and the lecture slides is very helpful. Also, I loved working on the assignments in this course. Thanks for making this amazing course.

By Utkarsh K

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Oct 13, 2019

This is the best course available for CNN. Even better than some of the university courses. Recommend doing the assignments properly to get full grasp on CNN. This has helped me clear so many concepts and get started with CNN.

By Md Z S

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Dec 1, 2018

This course handles the crux of ML application of CNN network in Computer Vision. It is also very strong in math and concepts are explained well. I got to learn not only the concepts but also how strong is the research on CNN.

By XiaoLong L

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Nov 5, 2017

After about three days learning, I finished the fourth course and It's awesome. It's really easy and impressive. I appreciate what Prof. Andrew and the TAs did for this course. I'm looking forward to learning the final course.

By Dasharath A

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Jul 11, 2020

By taking this course, I got a chance to learn the fundamental concepts in CNN, and most importantly, many concepts in Computer Vision. If you want to work/research in computer vision, this course will give you a strong base.

By Kazım S

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Mar 11, 2019

Course was well structured, and easy to follow. It also covers recent developments and famous papers, which was the best part for me. Many thanks to Coursera and prof. Ng for preparing and teaching us such valuable materials.

By Alexander G

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May 22, 2018

Thank you so much for your job!

That's great practical oriented course which helps me a lot to understand lots of mainstream and basic ideas and intuitions! Good and clear explanations and one of the best exercises! Thank you!

By Dinuka B

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Oct 10, 2024

The Convolutional Neural Network course offered me a flexible and comprehensive learning experience. I could study at my own pace, and the concepts were clearly explained, making it easy to apply them to real-world projects.

By Lambertus d G

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Nov 24, 2020

I enjoyed this course very much. It found it also easier to understand than the first 2 courses in this specialization. Maybe it is that I'm getting more familiar with the code and neural networks. It was definitely more fun

By shawn w

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Apr 26, 2020

Absolutely loved this course. It is a great blend of updated CNN knowledge with challenging (but not unrealistic) programming assignments to actually learn and develop CNNs. Thank you Andrew (and company) for a great course!

By Sarfaraz K

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Feb 15, 2019

Its an absolute gem of a course. Great explanation of state of the art CNN architectures in a very simplistic way. Loved every bit of it and learned a ton more. This course is a must do for anyone from beginners to advanced.

By Harri P

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Dec 24, 2018

This course was quite challenging, but very rewarding! After completing this course I think I have a pretty good basic understanding of convolutional neural networks and their applications. Andrew Ng is an excellent teacher!

By David A M M

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Jun 6, 2020

It was a very complete and straight forward guide about everything you need to know about CNN's. Thank you so much for this impressive and fascinating course. I really enjoy it. I felt such if I acquired a new Jedi power :D

By Virginia A

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Apr 7, 2020

This course satisfied and clarified absolutely my learning expectations around the subject of CNN.

Having a personal background in research I enjoyed the proposition of reference papers in each video as voluntarily reading.

By Divyansh R

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Aug 29, 2018

Interesting and has depth. He'll take you to the complex parts without being bored. Perfect to binge on. Although I do recommended that you do the second course in the specialization for this course to make much more sense.

By Francis C W I

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Dec 21, 2017

Great course! The hints for writing the code were very useful! Thank you for having mentors support the forum and thank you for emphasizing the intuitive understanding of Constitutional Neural Networks during the lectures!

By Sebastián R

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Dec 2, 2017

This is probably the best material on Convolutional Neural Networks and computer vision. And I've seen a lot. If you could only take one course on the subject, take this one. If you plan on taking many, take this one first.