The course is great but the support of the mentors is zero and there are several typos in the notebooks.

difficulty in learning program it there any optional videos to learn those programming like keras etc..

A couple of missunderstading in the assigments but you can learn a lot about convnets and that is huge!

Cover some of topics and give good overview, but skip other interesting moments (like GAN and CapsNet).

A good course, could be great if we keep the course updated with current state of the art developments

I don't know the triplet loss part in the final PA. why it's should be axis = None

other PAs are great!

The graded assignments are a bit buggy and need to be corrected. The quality of the content is great.

Course covers most of the basics for CNNs.

But it would be better if they would have also covered GANs

Great content, HW assignments were poorly done because of the automated grader being fickle or wrong.

I would give it 5 starts, but there are too many errors in subtitles and audio. Overall very useful!

Material was excellent as usual. However, there were a few glitches in the final week's assignments.

Pretty good course. It would be perfect if it would go much more into the details with YOLO and NST.

Despite some bugs in the assignments (especially second assignment of week 4!) a very useful course!

Good content, good instructor. But the grader is terribly buggy and makes you waste a lot of time.

there should be explanation of tensorflow library which will help us to understand more efficiently

Great, but some aspect such as Neural Style Transfer are not quite as applicable in the real world.

This course was cool too but I feel I got a bit less out of the exercises that the first 2 courses.

Lots of editing bugs in the videos. Sometimes the videos would seem to jump backwards 5-20 seconds.

The instructor has the peculiar ability of making the most difficult concepts easy to understand.

it's quite hard and contains unnecessary computation and coding... but generally lessons are great

Great Course, the only problem is that this course is still using TensorFlow 1 for its assignment.

Generally a great course, just a couple of quiz questions which could be less ambiguously defined.

More assignments of transfer learning using pre-trained models need to be included in this course.

Some of the grader difficulties in week four need to be sorted out. Otherwise, interesting course.

Too many grader problems existing for so long. Otherwise the material was top quality as expected.