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It's not easy, but it's awesome to understand all aspects of Convolutional Neural Networks. From Facial Recognition to Object and Landmark recognition. I strongly recommend this program.

Really good course, helped me a lot theoretically. For practical implementation, I would suggest looking at technical papers and trying to implement them yourselves using some framework.

Could be a bit better in letting the students implement the algorithms than just coding up the helper functions. (ask us to code the algo then import the pre trained weights to predict).

Andrew properly explains the working and fundamentals behind CNNs, this would help the implementation of CNNs, as there are more logic errors than syntatic error while implementing CNNs.

As always Andrew Ng have cleared all the topics in so easy language that there is chance of any doubt. but programming assignment have many bugs. hope coursera team will solve this soon.

It's the hardest course so far but it's also the one in which i've learned more! The programming exercises are awesome and give u good hands on experience to implement your own models.

never thought that my concepts would become so crystal clear. a big big thanks to cousera and Andrew ng sir for this course . i enjoyed and never felt that I was in a class or something

I'm so happy because I've learnt a lot. Previously I've seen on the internet lots of graphics and explanations of the Convolutional NNs, but here, I got to understand why they are used.

The programming really guides us on how to approach a problem from end to end. It also serves as a playground to understand what effect changing a hyperparameter can have on the image.

The content and lecture videos are outstanding. Some of the programming assignment notebooks are buggy. Please devote resources to resolving these issues, especially for a paid course.

Very well design for people with a full time job and kids! This course makes it quite easy to get some understanding of fairly advanced concepts in computer vision and get you started.

A highly recommended course for someone who would like to kickstart their learning on Computer Vision and Convolutional Neural Networks. Another best course conducted by Prof Andrew Ng

It was a good experience with CNNs. The course is well explained and assignments are beautifully arranged to apply whatever is learnt. Thanks a lot for making such a beautiful course.

Convolutional Neural Networks course gave me a fundamental knowledge of this algorithm concepts and illustrated several great applications of it in real life such as Face Recognition.

Very comprehensive course. Everyone those who interested in image processing must complete this course. Andrew Ng straightforwardly teaches technical points. Beginner-friendly course.

I think I already know much about CNN. But, it's not. I found the practice materials are really great and fun.

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This course has been an eye opener to the power of DL technology. More importantly, it's amazing how the instructors can make such complex material accessible to the broader audience.

The topics of this course were arranged in a very principled way and very practical contents were stated and very interesting exercises were designed. Thank you very much Mr. Andrew.

This course gives a lot of knowledge related to object detection algorithm. Thank you so much for give me this course and I am looking forward to hearing advance course in the future

Excellent course on CNNs from Prof. Andrew Ng and his team at deeplearning.ai. Thanks a lot for the exposure on various applications of CNNs that can really make a big difference !!!

Excellent course. The way Prof. Andrew Ng explains even the complex terms seems so easy to understand. Hope to see video lectures for another type of deep neural networks e.g. GAN's.

Nicely done course. I really appreciate all the students and mentors who helped me understand what was happening. So many times I had to refer to the discussions to get over a hump.

Great course, as always with deeplearning.ai.

One thing I miss and that I would really appreciate would be a deeper explanation about the construction of functions in utils.py files

There are many lectures available on computer vision but this lecture by Andrew Neg is best among them all. It gives you all the core knowledge from mathematics behind CNN to codes.

The interest of the narrator is weirdly fascinating. I watch these like episodes of '24'. Or like I used to watch episodes of '24', long ago, in another epoch, with other concerns.