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 analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
por Florian M
•Very interesting tools and ideas for applied ML.
por Jason G
•Not as strong as the other 4 of 5 of the series
por Mark
•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 Ivan V
•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.
por vijaykumar
•This course is awesome and good knowledge .
por Alfredo M
•There were no practical coding homeworks :(
por Igor C 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
por Akansha B
•Was good as an intro could be hands on..