Insight into how a model should be built and improved upon is really underrated. this course does emphasize on this, I enjoyed it.

It was a great course, but it lacks programming assignments and the quizzes were great (I really miss the programming assignments)

I think a little bit more programming homework can help me better understand the concepts, but other than that everything is good.

It's a good course to gain an initial understanding on the role that different real-world considerations play in Deep Learning NN.

Good course, covering interesting topics. Seemed too easy without enough content to make you feel like you mastered the subjects.

The course was very helpful. But I found some concepts to be repetitive. But it helped me to understand how to tackle the errors.

Very good insight on how to approach machine learning projects and the kind of things to look out for and tackle as they appear.

It gives guidance on how not to waste your team's time - quite valuable. There are some slight inclarities in the test questions.

This course helped me understand the basic ideas behind deep learning and how to close the understanding of the previous courses.

No programming exercises in this course....Programming exercises helps to fix what we've learn. Overall, very good course though

Nice "flight simulator" approach, taking students to advanced strategic decision-making directly, bypassing years of experience.

I wish there were more simulations (quizs) since this course aims at improving project structuring. 2 quizs are just not enough!

me agrado, pero no tanto como lo demás cursos de la serie, lo debieron poner entre los otros capitulos.. :) igual estuvo genial

Rather less coding in this course. However, if you are about to embark in ML project, the advice you will get here is valuable.

More examples other than speech recognition and self driving car would have been useful. Multitask learning was not very clear.

This course is mainly about the concepts. But it makes me know why and when I can use pre-trained models and transfer learning.

This course is absolutely for who is coming out to structure the projects and research the tuning the Machine learning models.

Learnt a lot about machine learning. One of the finest collection of all the information related to machine learning concepts.

The content is great, but the there are some HW questions that should be reviewed and the wording of which should be improved.

I brief look at the project management aspects of deep learning. More flight simulators (case studies) would be very helpful.

Simple and yet a great course! Exposes us to a very well explained and justified set of guidelines on how to improve learning.

The videos are fast forwarded which causes problem while understanding difficult portions of the course please slow it down .

A bit light and repetitive. Could be cut down to 1 week. Would be nice to see some template code for good ML pipeline setups.

Terrific material as always. This stuff also felt very real-world actionable. But no coding learning, which I was hoping for.

It would take many projects and careful reflection to learn the concepts in this course. It was definitely worth the effort.