Es muy bueno el curso lo recomiendo si se desea tener un conocimiento general sobre los aspectos a considerar en las etapas del desarrollo de proyectos de ML.

Advanced course, as always well done :D

Anyway, something for me strange is that there are only quitz but not exercices in Python/Tensor Flow... This is a pity

I loved the lessons, they are very practical. The only thing that I think could be improved are some of the quizz questions are worded in a bit ambiguous way.

It's an useful course to give me how to analyze error and give me some advice how to apply transfer learning and multitask learning. Thank for your course.

I felt that this course was too slow for my liking. While I agree this helps a lot, But I watched all the videos at 1.25x the speed so that I dont get bored

It doesn't have coding but it teaches thing that will really help in real projects when we will need to decide best approach based on multiple data points.

The courses of this two weeks make me confused because i have't built a machine learning systems fully by myself yet , so i found those classes boring.0.0

Not as helpful or practical as earlier lessons, but nonetheless important high-level advice. Perhaps there was a better way to test knowledge than a quiz?

It would have been nicer to get more hands on with this one rather than just watching videos and taking quizes, but otherwise the content was excellent!

i recommend to go to this course after finishing all the other courses in this specialization .

Another great one from Andrew.

Thank you very much Andrew!

Still a great course, but compared to the pervious two, this seems to be a bit less useful and practical and there are a few mistakes with cutting, etc.

It may be useful in the future, but since I don't have any large project experience in the real world, I feel a little boring while taking this course.

Some content was a bit superficial. Many concepts regarding approach to machine learning projects were useful. Found the "flight simulators" were not s

Quite a lot useful information for structuring deep learning projects, but also quite some errors in the course contents. Hope them will be fixed soon.

Overall a nice approach to understand how to tune the learning algorithms. There are some production/editing issues in the videos that are distracting.

Lot of info. A bit more practical programming approach to these issues would've been helpful but great way to put convey that information nonetheless!

excellent practical and insightful strategies from years of andrew's experience, i wish there were more hands on labs to practice some of the concepts

This course is a must-do, this course gives you the necessary confidence to go ahead and actually start building your own application and work on it!

The content is well worth going through. While the "flight simulator" approach was certainly beneficial, I wish there had been programming exercises.

The course is good, as I would expect of Andrew, however, I feel like the standards of editing the videos has fallen quite a bit since the ML course.

this course was a little boring, but it covers all the necessary concepts about the error analysis and strategies to be followed in machine learning

The course has given me insight about the handling of ML projects. But it would be great if there was some CODING and specific algorithm involved.

Good course! Focusing on strategies on how to start well and manage a DL project.

But very vague! Hoped to have more thery & a usecase on the topic

I had some problems answering some questions correctly since there was no specific emphasis in the lectures and I was somehow unsure how to reply.

It has nice discussions on the practical aspects of Deep Learning projects, but I wish it had more Math, and it had more programming assignments.