After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
By Aashita G•
fast paced not enough emphasis on topics
By Amod J•
Want to download my own work but cannot.
By Rachana O•
Can be done in more interesting manner.
By Mark L•
great superficial intro to the content
By Jérôme C•
Need more training on Tensorflow, imho
By Juan J D•
tensorflow subject was to superficial
By SATHVIK S•
Can dive deeper into the mathematics
By Trevor M•
good lectures terrible exercises
By Maisam S W•
I still find tensorflow hard.
By Andrey L•
week 2 was extremely boring
By Cheran V•
Outdated with Tensorflow 1
By QUINTANA-AMATE, S•
Again, nice videos but not
By Adam G•
Multiple grading issues.
By b19077 b•
could be more engaging
By Patrick C N•
Update for TF2.0 :)
By Алексей А•
Looks raw yet.
By CARLOS G G•
By Long H N•
By Sébastien C•
Course covers the most important parts of hyperparameter tuning, regularization and optimization.
As a general remark for this specialization, the exercices do not provide any value. We just have to fill in some lines and submit our work.
As I tend to "learn by doing" I had to look for other tutorials and projects on other platforms (Kaggle, MachineLearningMastery's website) in order to complete my learning.
By Fabrizio N•
Good course content and clear exposition by Andrew. The course material however is not of a good standard. The slides can be downloaded but after all the hand scribbles by the tutor, they are barely decifrable. Some are just blank pages that need to be filled in with screenshots from of the videos. The assignements are often just a copy and paste exercise, and Jupyter crashes cause frequent loss of work.
By Goda D R•
The video content is very good to get a good hang of theoretical aspects but the programming assignments are too spoon-fed because of which after doing filling the blanks, you don't feel confident enough to implement the same on your own. Instead the assignments should be changed to cases where instructions are given in words and entire function should be implemented by students.