Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.

complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.

The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.

Would like to have seen some information on techniques such as batch normalization and residual layers.

Final work had almost no connection to what you learned during the course.

Not enough hands on.

The topics are explained very briefly.There is no in depth coverage of the mentioned topics

Course is good however there can be programming assignments for better practice.

this could have been better if object detection and segmentation was a part of

too easy! not much to learn actually. all the videos could be one lesson only

The concepts are not as clear as in other courses.

Dissapointed a little bit

need to watch Andrew Ng's course on deep learning before watching this one

The course seems to be getting more loose than the first course.

the same problems with the auto graders, it's exhausting sadly

Coding exercises should be made compulsory and for the grade

Didn't provide a real understanding for transfer learning

not much of insights or details, and it's too easy!

A lot of boilerplate code with few new concepts

The course covers elementary techniques.

Useful course. Just a bit unstructured.

Content too easy and not engaging....

I wish it had real assignments

exercises are not very clear

course is a little too easy.

It was not great and good