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 Mohamed B•
Gets repetitive at some parts, but otherwise very useful insights into best practices in the field
por Eric L•
Very nice course but a bit more subjective than the 2 previous especially about human performance
por Priyansh J•
Great teacher and great content. thought content could have been more! but overaal it was great.
por Stefan L•
It's nice to get some insight into projects. It would be great to have even bigger case studies.
por Vaibhav J•
It would be a better course if you give more problem assignments. Rest everything was very good.
por yassine a•
The videos are so long, there is a lot of repetition. it would be better to do it in three weeks
por Mahesh S P•
Good experince of working on ML/DL projects is given in this course. Quiz 1 is little confusing
por Anna M•
A lot of useful information, but perhaps some areas should have been explored in greater depth.
por Timothy D•
This course was a lot more interesting then I thought it would be. Very useful knowledge here.
por Gopal S P•
Too many dimensions to think about which is good and exhaustive at the same time
por Aby P•
learned real life implementation and how things working on industries, but content was so slow
por elias m•
I wish I had this course when I started working in data science
Elias Mokbel, CFA, M.Sc.
por Jochen I•
Still fun but much less practice (no programming assignments) makes it a little less thorough.
por Nick R•
Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.
Lecture was good but no programming assignment for this course. I took out one star for this.
por Ramachandran C•
Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.
por Arthur J•
It would be great to have some materials to be able to go back to once done with the course.
por Kyle S•
This is a great course. It will be an invaluable reference when tackling real-world problem.
por Yang Z•
Some videos don't end properly and instead give you a black screen to stare at for a minute.
por Akhtar H•
This is little bit tricky course. But main understanding comes when you solve case studies.
por Neel K•
It was better to include some more case studies. This was a better real-time understanding.
por Michael L•
Sometimes, the explanations/advices given were too lengthly and contained some repetitions.
por Amielle D•
There were some typos throughout the course, but the core topics were still discussed well.
por Tariq A•
A good quality course, would have loved to have some programming exercises to go with this.