Excellent

Fantastic

good

good

Very light. The current material requires much less time to finish than annoucned at the beginning of the course. The teacher could have hence taken some time to go more into details, even though it's an introduction course

The course should have discuss either deeplearning or keras library more deeply. As it is not discussed, at least other resources or courses should be mentioned for interesting strudent who is prone to advanced learning.

Course is too easy... And some guy copied my work for the final assignment after he reviewed it. IMO it should not be possible to review someone else's work, when you haven't passed the course yourself yet.

The course was very elementary and brief but well organized. Week 4 (supervised and unsupervised models) is definitely too short to grasp the ideas behind the different designs.

The topic explanations are pretty rushed for beginners. The assignment has been unnecessarily added with lots of iterations that created issues with debugging and testing.

Extremely simplified course of ANNs, tells you how to create a simple ANN, but you are not going to learn almost anything about how it's components work together.

Good introductory course, just scratches the surface. What I did not like is that the instructor just reads the content for you. Could be improved.

It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.

These course is just for Introduction in Neural Network and Keras

Trainer was not so good

not show conflict between keras jupyter and mac m2

chaos