Great Course Overall\n\nOne thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.
Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.
By Narayanan S•
Very good introduction. I wish the assignments were a bit more challenging
By Alex N•
Please fix the grader in Week 4 - Face recognition - Triplet loss exercise
By Pierrick R•
I think that the exercices are really easy, you have to change this part.
By Ahouba C A A•
I wish there had been more explanations something regarding propagations.
By Kalyan A•
one less star because you are not giving me any material for this course.
By MEKALA S N•
Overall course was good. Some videos are lengthy, people might get bored.
By Christian A•
excellent course. the jupyter notebooks were behaving erratically though.
By Amit K•
this one was hard to clear thanks for wonder full tutorials and questions
By Fereydoon V•
Tensorflow and Keras tutorials need improvement and further explanations.
By Benjamin H D•
Material is great as always, the audio could certainly be improved though
By Katharina E•
Content is great, but the auto grader has issues costing a lot of time!
By Michael F•
Programming assignments are too easy, consisting largely of copy&paste.
By Richard Y•
Very good course. Just please fix the buggggggggy grader in the week 3.
By Pengbo L•
The last assignment on triple-loss has the grader-error, which a couple
By Dino P•
I'd have given it 5 if programming exercises were modified to use TF2.
By Ukachi O•
A wonderful introduction and implementation to the concepts of CovNets
By Vamvakaris M•
It required coding on keras and tensorflow not appropriete introduced.
By Emmanuel R•
Very hard at week 2. Week 3 and Week 4 were very exciting. I liked it.
By Clay R•
The grader could use some more debugging but otherwise excellent work.
By David P•
Great course! Assignment notebooks could be a bit more challenging...
By Rafael G M•
I recommend explaining YOLO with more conceptual depth
By Jaisuthan A•
Nice course. But we are not working on latest versions of Tensorflow
By Jinfeng X•
Great content! It would be better if some missing slides were there.
Neural style transer part is hard to understand, the rest part easy
By Lin Z•
interesting introduction materials on convolutional neural networks.