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

But the server of programming assignment is quite slow.

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

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

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

I really like this course. It gives me a huge of fundamental knowledge about CNN. Special Thank to PhD. Andrew Ng and mentors.

Superb content, and a great course! Unfortunately issues with the assignments keeps this from a 5 star course when I took it.

Thanks for another well organized course. It would be nice if there were more details about building and training the model.

Good and very comprehensible, but does not go into depth. Particularly, homework assignments should give better practice...

Great course. Maybe videos and assignments we not as good as in first three courses, but still very informative and useful.

Good Course but they should also teach how to implement transfer learning and how to load the dataset.

Anyway a good course.

awesome content. some issues with assignments but nothing major...

Continuing on the next course, like them a lot! Txs guys.

The course content is very interesting.

Only 4 stars because of the frustration due to the bugs in week 4 graded assignments

I have learned a lot but still don't feel confident when it comes to building CNN from scratch or choosing hyperparameters.

great course again, but despite updated notebooks still some errors. Thanks to the community for communicating and sharing.

The course is great, Andrew explains everything in CNN very clearly. But the assignment and grader really need some update.

Learnt CNN with practical examples. But it would have been good if tensor flow, keras part also might have been explained

Awesome course! I would highly recommend this to anyone who is an AI enthusiast specially in the field of computer vision.

It would have gotten five stars, but grading problems and other technical difficulties on the backend were very prevalent.

an awesome and necessary course for deep learning aspirants. Taught well and thanks to all the team for this opportunity.

The course is very good, but I find that the mixture of numpy, tensorflow and keras in the assignments is quite onfusing.

I still love andrew, my only problem with this course was that it was quite shallow. There were a lot of editing mistakes

I would have appreciated a little more depth in the programming exercises but otherwise a good introduction to the topic.

The grader is unfortunately still not fixed for triple_loss function even though the comment in the notebook was correct.

I will rate it as 4 stars. Because the course has just one lacking point It does not give enough insights in Tensorflow

Please fix some bugs in the graders script. Just for that the course is not perfect, otherwise the content was amazing.