A bit too theoretical and not empirical but still really interesting

The value of this course is mostly in the quizzes. Very insightful.

Well structured material - trigger the desire to know more and more

kind of lacking in practical assignment. only quiz seems not enough

It would be great to get some explanations in regard to both tests.

Could be more examples or coding assignments for transfer learning.

Distills the key and practical aspects of machine learning projects

the knowledge is very relevant and the quiz is fun and challenging

Very useful intuitions, needs a little more of coding if possible.

This course is a bit short but there i a lot of experience bottled

Programming assignments for transfer learning would have been nice

Nice to learn skills about project handling in machine learning.

A little bit boring and repeated info., but still valuable stuff.

Tooo much time to repeat boring things...but still a good lesson!

Worthwhile: good info and the practical aspects of tuning models.

Good for understand how to spend your time on DL projects I guess

It's difficult for me, so I have to retake 3 course, when I need.

Theoretical insights in strategic development of your ML project.

The answer of Questions from quiz 2 seems to be not so confident

Superbly discussed practical problems in the field of ML and DL.

A programming assignment could be included to learn more better.

I would have liked some Python assignments on Transfer Learning

It would be better to have some hands on assignment or quizzes.

Some questions/answers of the quizzes were not accurate enough.

Provides a more scientific approach into hyperparameter tuning.