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.
por Mohammed Y A•
The course is a bit too theoretical. Programming HW supporting iteration, error analysis will greatly help this course!
por Tatsapat S•
Nice course, it helps me more understand on structure of project and give some technique to plan project more effective
Batch Norm, Multi-task learning and transfer learning exercises were missing.
Flight simulator exercise was also missing
por Ashwin A R•
It was an amazing course that helped me better understand the practical organization and application of AI/ML projects
por Jose M S L•
A very good course. In my opinion, I would have like to have more practical examples or more tests to prove yourself.
por K K V•
Good course and I was able to grasp some tactical and crucial factors governing the working of Deep Learning Models.
por Karan S•
Slightly boring, but from an importance standpoint, this course covers a lot of concepts which help in the long run.
por Domenico I•
The content of the course is unique, but I think sometimes is not totally clear how to apply some concepts and when.
por Muhammad U A•
This course is good and give you skill of error analysis, as well as how to handle data from different distribution.
por Ernest W•
I think this course would be more valuable if I have more experience so I could fully understand what I've learned.
por Dmitry B•
I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
por RAHUL B•
Amazing course with an amazing mentor. He is now becoming one of my favorite mentors. Thank you so much Andrew Ng.
por Shane M•
Some mistakes in the audio. Test questions from week 1, seemed like some of them came from the material in week 2?
por Delowar S•
this course is really helpful for an enthusiastic deep learning student.it will help one to design a good model.
por Andrei S•
First 2 courses are brilliant. This contains sometimes to detailed explanation. Any case very useful. Thank you.
por Hamza M K•
There is no coding involved in this course but rather gives us insight into the decision making of deep learning
por Trong-Tin D•
Provide good strategies for building machine learning applications. Team leaders or managers may find it useful.
por Madhav B K•
More of the theory concept compared to practicals. But the course has many insights how to perform several task
por Aditya B•
Loved the quizes, but few suggestions, more pop-up quizes after every lecture and more programming assignments.
por Agostino P•
Course providing a different and complementary perspective with respect to other similar training.
Well done !
por Giuseppe R•
Very good course, fundamental to have a systematic view of many useful insights for Machine Learning projects.
por Daniel H•
I wish this week's quiz will also include a programming section that'd show the actual performance difference.
por Mohamed A B•
perhaps adding code on how to synthesize images and code examples on dealing with avoidable bias and variance
por Jason D•
5 start learning with 1 start video editing. An intern and Adobe Premiere with less than a week would fix it!
por Renato R S•
Very Good, with insights not seem anywhere, but lacking exercises as the others in the specialization track.