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.
By gayatri h•
It gives the idea about real life machine learning problems.
By David d V•
It would have been great to add some programming assignments
By Jeff O•
Good material, just wish it had more "labs" to work through.
By Juan C M S•
In some occasions it's been has a bit redundant information
By Pranav B•
Good Course for Beginners need more programming assignments
By Gil E B•
Good Course to learn production pipelines for practical use
By Fereydoon V•
Hope we had programming assignment for this course as well!
By Venkatesh N•
Very good course, It should be last course in specilization
By Richard M•
Interesting ideas, but not as good structured as course 1.
By Pakin S•
Thanks I learn a lot of real world application and problem
By Peter K•
강의 후반부 (2주차) 에 강의 속도가 인위적으로 조정된거 같습니다. 속도가 빨라 이질감이 느껴졌습니다.
By Akshat A•
Curated content, quite exclusive indeed. Respect to Dr. Ng
By Joseph C•
Needs programming exercises to help firm up the new ideas.
By QUINTANA-AMATE, S•
Completely new of what it is out there. Well done Andrew!!
By Alejandro R V•
Not as interesting as the others, I personally prefer math
By Gopala V•
Gave some ideas on mismatched data and how to address them
By Akshita J•
An assignment could have been included to let practically
By Roberto J•
A bit dry, would love to see some more concrete examples.
By Vinicius B F•
Content was fantastic, but the videos were badly edited.
By Suresh P I•
Can be potentially folded into other courses if possible
By Hanqiu D•
It's too easy and cannot be a reasonable single course.
very helpful to build an intuition for DL strategies...
By Rafael G M•
Providing further references would benefit this section
By WEIJIAN K•
You can know well a lot of strategy in machine learning
By B S K•
Good teaching of practical approaches and nice quizzes