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!).
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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 Ivan V
•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 ..
By John H
•Useful content, could be much more succinct.
By vijaykumar
•This course is awesome and good knowledge .
By Alfredo M
•There were no practical coding homeworks :(
By Igor C C
•A little less dense than the other courses.
By Rajesh M
•Can reduce some of the repetitive material
By JEROME D
•Maybe add 1 question at the end of videos
By Mr. S A
•a bit slow and no programming assignments
By Shriniwas S U
•Satisfied with course. Thank u Instructor
By Hamidreza C
•Good course, nice case studies, liked it.
By Gaurav A
•Great course, good structure, nice theory
By Akansha B
•Was good as an intro could be hands on..
By David A
•Didn't get any practice coding sessions.