It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
por Shirley Z•
Could be more examples or coding assignments for transfer learning.
por Chao L•
Distills the key and practical aspects of machine learning projects
por Chuyi H•
the knowledge is very relevant and the quiz is fun and challenging
por Tomas O H•
Very useful intuitions, needs a little more of coding if possible.
por Aniceto P M•
This course is a bit short but there i a lot of experience bottled
por Javier F P V•
Programming assignments for transfer learning would have been nice
por Manish C•
Nice to learn skills about project handling in machine learning.
por Luis E G•
A little bit boring and repeated info., but still valuable stuff.
por Lili W•
Tooo much time to repeat boring things...but still a good lesson!
por Nicholas K•
Worthwhile: good info and the practical aspects of tuning models.
por Alexander B•
Good for understand how to spend your time on DL projects I guess
por Kunkyu L•
It's difficult for me, so I have to retake 3 course, when I need.
por harm l•
Theoretical insights in strategic development of your ML project.
The answer of Questions from quiz 2 seems to be not so confident
por Mohit K•
Superbly discussed practical problems in the field of ML and DL.
por Ch N•
A programming assignment could be included to learn more better.
por Raimondo M•
I would have liked some Python assignments on Transfer Learning
por Hamzah A•
It would be better to have some hands on assignment or quizzes.
por Mehmet N•
Some questions/answers of the quizzes were not accurate enough.
por Erik B•
Provides a more scientific approach into hyperparameter tuning.
por Qihang S•
I hope that in Course 3 there are some programming assignments.
por Ashwani K•
Nicely explained the concepts and importance of error analysis
por Su L•
Volumns of different vedios are different. Some are too small.
por Yue Z•
complementary material for the book "machine learning yarning"
por Pankaj R•
Lot of theory was their. Good but felt asleep after some time.