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.

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!

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!

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).

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.

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.

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.

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.

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 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.

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.

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!

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

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!

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.

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!

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

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.

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.

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!

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.

I would like to access the course assignments evene after I have completed them. So that I can use them for reference in future. Is it possible to make that happen or can i get the submitted jupyter notebooks mailed to me?

There were some little bugs in the grader, which was sometimes a bit frustrating, but overall I learned some super cool state of the art stuff and the explanations in the videos (maybe except for the YOLO) were very clear.

This is also a wonderful course in Data Specialization series. All the complexities of CNNs are presented in very intuitive and simple manner. The assignments were also very helpful. Thanks Coursera for bringing it to us!

A little bit more detail about the YOLO network like how the bounding boxes contribute to the training process and how it speeds up the iterating process would be very much appreciated.

Thank you for the wonderful course!