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.
por Florian M•
Very interesting tools and ideas for applied ML.
por Nicholas N S•
There is so much noise in the explanation voice
por Jason G•
Not as strong as the other 4 of 5 of the series
Great course. Needs deeper practical examples.
por Francis J•
A lot of insights rather than technical details
por Lukáš L•
Coding exercises would be great in this course.
por Mares B•
A little short, maybe more hands on exercises?
por Ed G•
Concise course with some interesting concepts.
por Tulip T•
Quite helpful when you start a new ML project.
por S V R•
The session were simple, could be more complex
por Caique D S C•
very good course, could be less massive though
por Виницкий И В•
I want a program exercise like in 1-2 courses
por Dionysios S•
I would like to see more practice assessments
por Luis E R•
Very useful concepts that few people address
por Jun P•
Kind of boring than the cnn and rnn class ..
por John H•
Useful content, could be much more succinct.
This course is awesome and good knowledge .
por Alfredo M•
There were no practical coding homeworks :(
por Igor C•
A little less dense than the other courses.
por Rajesh M•
Can reduce some of the repetitive material
por JEROME D•
Maybe add 1 question at the end of videos
por Mr. S A•
a bit slow and no programming assignments
por Shriniwas S U•
Satisfied with course. Thank u Instructor
por Hamidreza C•
Good course, nice case studies, liked it.
por Gaurav A•
Great course, good structure, nice theory