Very good explanations, we could learn many different things, so thank you for teaching. Keep learning & charming. Thank you 😊☺.

This course saved thousands of hours to be spent on collecting so many valuable hints taken from different fields. Thanks Andrew!

As always, these courses are awesome. I love the "flight simulator approach" for the 2 tests (real questions on real uses cases).

This is a sort of introduction to high-level strategical view of machine learning practicing. Very practical and easy-to-follow.

I really enjoyed this course! It gives me industrial perception on deep learning projects which I am looking into for many yeats.

Although this was a more theory based course, I really understood the ways one can work on data issues and lack of data problems.

The amount of value this short course gives is enormous and every deep learning engineer should know this much before than later.

I really love the way Andrew NG sorts everything he has to tell in such an understandable manner for listeners. Loads of thanks!!

This course shares a lot of practical wisdom. Anyone who values efficiency and effectiveness is sure to find this course helpful.

It would be even better, if multi-task learning can be taught more mathematically, and with corresponding programming assignment.

It was great to have a structured overview to identify problems in a deep learning algorithm. thanks for putting it all together.

It is a very useful course for anyone who wants a systematic introduction of how to start and manage a machine learning project.

This course serves introduces to a lot of tricks and techniques as to how we should approach Deep Learning Projects in Practice.

Got great insights on how to improve the ML projects, really useful and something you may not find anywhere else on the internet

Must have for anyone who is serious about deep learning. Without having this course, don't even think to start to a new project.

great content of course. Help lot on how to start on new machine learning implementation and how to deal diff different scenario

A wonderful course to learn strategies about how set up and develop the deep-learning network depends on the algorithm's errors.

It's very practical in the practice. and can save a lot time when you solve the problem.I think it very meaningful to my project

What is shared in this course is very practical and will be very valuable to anyone embarking on a real machine learning project

Great insight on how to structure and plan a new project. Lot of practical examples of diagnosing an error and how to tackle it.

Very practical course. Provides really great tools and methodologies for running ML project in the industry. Love it, thank you!

it was a great experience and gave a lot of incite to how to really extract meaning from your performane so as to take next path

Useful experience from Professor Ng's work in building machine learning projects throughout the course. Very useful and helpful!

Everyone can make a network, not everyone can improve it. This course is probably the most valuable one in this specialization.

Awesome to complete and acquire new dimensions of course to boost skills in the AI paradigm. Thanks to Coursera and Instructors