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.
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 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 ..
By John H•
Useful content, could be much more succinct.
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.
By Yunfei D•
Why is there no programming assignments?
By John K•
I would have liked more hands o examples
By Zhen L•
Provide many suggestions about practice.
By Michael F•
I would have liked more coding modules.
By bhagam a•
It was actually very nice and intuitive