Mar 30, 2020
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.
Nov 22, 2017
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 Franz L•
Jun 3, 2020
I really enjoyed the course, but I think some of the responses from the mentors in the discussion forum leave some doubts.
By Oliverio J S J•
Jan 28, 2019
It is a very interesting course. I just regret that no documentation can be download to use it as reference in the future.
By Gustavo A V•
Mar 31, 2019
The missing of practical exercises I think is a real disadvantage. Is always better to learn by practice than by theory.
By Archer M•
Dec 13, 2018
Would be nicer if there are coding assignment that can guide us through some of the applications mentioned in the lecture
By William K•
Oct 9, 2018
Good and useful content. The staff should read the forum's errata section and make a bunch of fixes to the course though.
By Saurav J•
Sep 22, 2017
Excellent course material would have been icing on the top if there were some course exercises like previous two courses.
By Hao W•
Aug 19, 2017
I think some videos materials related to deep learning practice(programming assignment seems costly) will be more helpful
By Nicholas P•
May 14, 2020
an interesting short course on some of the things to be careful of when carrying out/planning a machine learning project
By James D B•
Jul 5, 2019
Pretty quick and easy course, but there does seem to be some good content in there. Almost no technical content, though.
By David C•
Nov 12, 2018
No coding exercises; only quizzes which lean slightly on trivia rather than core ideas. Nonetheless, a very good course!
By Christos Z•
May 20, 2018
Maybe a week with an actual applied transfer learning assignment would be useful? (In addition to the existing material)
By Mohammed Y A•
Jun 19, 2020
The course is a bit too theoretical. Programming HW supporting iteration, error analysis will greatly help this course!
By Tatsapat S•
Nov 7, 2019
Nice course, it helps me more understand on structure of project and give some technique to plan project more effective
Oct 6, 2018
Batch Norm, Multi-task learning and transfer learning exercises were missing.
Flight simulator exercise was also missing
By Ashwin A R•
Jan 27, 2020
It was an amazing course that helped me better understand the practical organization and application of AI/ML projects
By José M S L•
Jan 11, 2018
A very good course. In my opinion, I would have like to have more practical examples or more tests to prove yourself.
By K K V•
Jul 6, 2020
Good course and I was able to grasp some tactical and crucial factors governing the working of Deep Learning Models.
By Karan S•
Jul 12, 2019
Slightly boring, but from an importance standpoint, this course covers a lot of concepts which help in the long run.
By Domenico I•
Feb 10, 2018
The content of the course is unique, but I think sometimes is not totally clear how to apply some concepts and when.
By Muhammad U A•
Feb 4, 2018
This course is good and give you skill of error analysis, as well as how to handle data from different distribution.
By Ernest W•
Jul 1, 2021
I think this course would be more valuable if I have more experience so I could fully understand what I've learned.
By Dmitry B•
Dec 19, 2018
I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
By RAHUL B•
Aug 1, 2020
Amazing course with an amazing mentor. He is now becoming one of my favorite mentors. Thank you so much Andrew Ng.
By Shane M•
Jan 11, 2018
Some mistakes in the audio. Test questions from week 1, seemed like some of them came from the material in week 2?
By Delowar S•
Jun 8, 2020
this course is really helpful for an enthusiastic deep learning student.it will help one to design a good model.