I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
By Ktawut T
•Very useful materials for leading a ML research team
By Awalin S
•interesting insights about real world implementation
By Yu L
•would like to have more excercise related to coding
By Mage K
•Would've liked to have some programming assignments
By Carlisle
•Introduced a lot on engineering project experiences
By Marcelo A H
•Very interesting topics were shown in this course.
By William L
•Very useful knowledge that is not commonly taught.
By Alvaro G d P
•Interesting but perhaps we could have gone deeper.
By John H
•Is the flight simulator hw going to be added soon?
By Pat B
•Great course. I liked the compact, 2-week format.
By liu c
•A little bit abstract. But still very inspiring!
By Florian M
•Very interesting tools and ideas for applied ML.
By Jason G
•Not as strong as the other 4 of 5 of the series
By Mark
•Great course. Needs deeper practical examples.
By Francis J
•A lot of insights rather than technical details
By Lukáš L
•Coding exercises would be great in this course.
By Mares B
•A little short, maybe more hands on exercises?
By Ed G
•Concise course with some interesting concepts.
By Tulip T
•Quite helpful when you start a new ML project.
By S V R
•The session were simple, could be more complex
By Caique D S C
•very good course, could be less massive though
By Виницкий И В
•I want a program exercise like in 1-2 courses
By Dionysios S
•I would like to see more practice assessments
By Luis E R
•Very useful concepts that few people address
By Jun P
•Kind of boring than the cnn and rnn class ..