Neural Transfer and Object Identification (YOLO) was not explained very well. I had to look out for external videos on Yoututbe to understand YOLO.

CNN is not only used for image processing. It can be used in other fields. I hope so we can find other case study than image processing. thank you

Week 3 has a bad grading system for the programming assignment. The exact "0" blocked many time, and waste efforts. Otherwise, the course is good.

It would be better if some gpus were provided, or the experiments of style transfer were a little painful. Anyway, the course itself is wonderful!

Pretty good! Although this class is very good and easy to learn, something in this course is so simple that some key points are not well claimed.

Good content but the labs should be upgraded to Tensorflow 2. Some quiz questions are bit vague and feedback isn't helpful to understand mistakes

Some videos are not carefully edited and there the teacher repeats some sentences.

But overall, the materials and of course Andrew Ng are perfect.

Assignments are not always consolidating acquired knowlegde, due to the distance between implementation from scratch and using predefined models.

Very nice course.

assignments are very high level though and just help in giving a taste of convolutional neural networks.

lecture notes are great

A bit buggy some of the exercises, some of the videos and some of the course notes, but the material is excellent and the learning is invaluable.

Amazing course that breaks down the complexity of CNN

Some assignment have issues yet the forum displays significant resources to help solve them

Some key points for not giving 5 stars (lack of questions during lecture, assignments too easy). But, as always Andrew is an excellent teacher!

The course is complex, it must teach more examples of coding and practice overall the content of this course requires very high level practice.

I really like the videos, and the content covered. It would be nice if the large blocks of videos were separated by some programming exercises.

The coding assignment is a little hard for people who don't know much about tensorflow and keras. But on the whole, this is a brilliant course.

There is a great course for many people to begin working with the such an enigmatic stuff as cnn! Thank you very much for creating this course!

Wonderful and well-structured course! Following instructions on jupyter notebook is confusing, had to go back and forth to do the assignments.

Grading assignments troubles are annoying especially after such a good teaching it is really frustrating. nevertheless it's an amazing course!

Interesting course, but the assignments were sometimes disappointing. There were bugs/issues, and it wasn't very clear how to deal with these.

The coverage of the material is excellent. The only downside is that there is little support for the exercises and can be quite frustrating.

I think perhaps you can add more detailed explaination on Fast R-CNN and so on. Also, I think the homework can be updated to Tensorflow 2.0.

It's very difficult. I believe it can be more simple. But on the other hand maybe when I go through it 2 or 3 times it'll became more clear.

the labs need to be little bit better with more code to write and better explaination in the later courses because i am still struggling :(

Andrew could have explained a few concepts in depth overall a great course though giving an overview of CNN's & deep learning architectures

Pretty good course, holds a lot of relevant information.

Though the going into every little detail of doing a convolution is a bit overkill.