Excellent course with a lot of applications of convolutional neural networks

More Tensorflow related introductions in the program assignments are needed.

The course is good, but the grader is something that makes your hair go grey

The course content is very good. but I think assignments need to be harder.

It was tough. Tensorflow knowledge is a must prerequisite for this course.

Very good introduction. I wish the assignments were a bit more challenging

Please fix the grader in Week 4 - Face recognition - Triplet loss exercise

I think that the exercices are really easy, you have to change this part.

I wish there had been more explanations something regarding propagations.

one less star because you are not giving me any material for this course.

Overall course was good. Some videos are lengthy, people might get bored.

excellent course. the jupyter notebooks were behaving erratically though.

this one was hard to clear thanks for wonder full tutorials and questions

Tensorflow and Keras tutorials need improvement and further explanations.

Material is great as always, the audio could certainly be improved though

Content is great, but the auto grader has issues costing a lot of time!

Programming assignments are too easy, consisting largely of copy&paste.

Very good course. Just please fix the buggggggggy grader in the week 3.

The last assignment on triple-loss has the grader-error, which a couple

I'd have given it 5 if programming exercises were modified to use TF2.

A wonderful introduction and implementation to the concepts of CovNets

It required coding on keras and tensorflow not appropriete introduced.

Very hard at week 2. Week 3 and Week 4 were very exciting. I liked it.

The grader could use some more debugging but otherwise excellent work.

Great course! Assignment notebooks could be a bit more challenging...