Nov 23, 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.
Mar 31, 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.
por Thomas A•
May 25, 2020
Still great, but not quite as substantive as the first 2 courses. Enjoyed the flight simulators though, do more of that :-)
por 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.
por Gustavo A V•
Apr 01, 2019
The missing of practical exercises I think is a real disadvantage. Is always better to learn by practice than by theory.
por 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
por William K•
Oct 10, 2018
Good and useful content. The staff should read the forum's errata section and make a bunch of fixes to the course though.
por 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.
por Hao W•
Aug 19, 2017
I think some videos materials related to deep learning practice(programming assignment seems costly) will be more helpful
por 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
por James D B•
Jul 05, 2019
Pretty quick and easy course, but there does seem to be some good content in there. Almost no technical content, though.
por David C•
Nov 13, 2018
No coding exercises; only quizzes which lean slightly on trivia rather than core ideas. Nonetheless, a very good course!
por Christos Z•
May 20, 2018
Maybe a week with an actual applied transfer learning assignment would be useful? (In addition to the existing material)
por Tatsapat S•
Nov 07, 2019
Nice course, it helps me more understand on structure of project and give some technique to plan project more effective
Oct 06, 2018
Batch Norm, Multi-task learning and transfer learning exercises were missing.
Flight simulator exercise was also missing
por 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
por Jose 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.
por 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.
por Domenico I•
Feb 11, 2018
The content of the course is unique, but I think sometimes is not totally clear how to apply some concepts and when.
por Muahammad U A•
Feb 04, 2018
This course is good and give you skill of error analysis, as well as how to handle data from different distribution.
por Dmitry B•
Dec 19, 2018
I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
por 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?
por Andrei S•
Oct 22, 2019
First 2 courses are brilliant. This contains sometimes to detailed explanation. Any case very useful. Thank you.
por Hamza M K•
Jul 29, 2018
There is no coding involved in this course but rather gives us insight into the decision making of deep learning
por Trong-Tin D•
Dec 04, 2017
Provide good strategies for building machine learning applications. Team leaders or managers may find it useful.
por Aditya B•
Jan 15, 2019
Loved the quizes, but few suggestions, more pop-up quizes after every lecture and more programming assignments.
por Giuseppe R•
Feb 03, 2019
Very good course, fundamental to have a systematic view of many useful insights for Machine Learning projects.