One of the best course of Deep Learning specialization. Excellent Material was prepared and delivered in great style of teaching.

Overall great coverage of CNNs. Just think it's worth some more time getting dirty with the networks and building them with Keras.

Triple loss correction is wrong.... Overall very good presentations and amazing content! Thanks for the opportunity to learn that.

It is great, but it had some problems in the some of the assignments submissions! Hope Coursera can fix it for the next students.

Great presentation from Andrew Ng as usals. Sometimes a little too theoretical approach, some more concrete examples could help.

The programming exercise of YOLO was not very clear, both the notation and the implementation. Otherwise, good couse. Thank you!

Good introductory course. A bit more focus on transfer learning and using e.g. only a part of the networks would have been nice.

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.