ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
MG
Mar 30, 2020
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.
By Manikandan R
•Oct 17, 2018
The amount of value this short course gives is enormous and every deep learning engineer should know this much before than later.
By RAKSHIT G L
•May 20, 2018
I really love the way Andrew NG sorts everything he has to tell in such an understandable manner for listeners. Loads of thanks!!
By Marsh
•Oct 4, 2017
This course shares a lot of practical wisdom. Anyone who values efficiency and effectiveness is sure to find this course helpful.
By Xuefeng P
•Sep 1, 2017
It would be even better, if multi-task learning can be taught more mathematically, and with corresponding programming assignment.
By Bahadir K
•Aug 17, 2017
It was great to have a structured overview to identify problems in a deep learning algorithm. thanks for putting it all together.
By Anfernee
•Jul 7, 2020
It is a very useful course for anyone who wants a systematic introduction of how to start and manage a machine learning project.
By Nisheet R
•May 21, 2020
This course serves introduces to a lot of tricks and techniques as to how we should approach Deep Learning Projects in Practice.
By DARSHAN D
•Apr 18, 2020
Got great insights on how to improve the ML projects, really useful and something you may not find anywhere else on the internet
By Ahmet C
•Nov 12, 2019
Must have for anyone who is serious about deep learning. Without having this course, don't even think to start to a new project.
By Kamlesh K J
•May 26, 2019
great content of course. Help lot on how to start on new machine learning implementation and how to deal diff different scenario
By Elad A
•Jan 27, 2019
A wonderful course to learn strategies about how set up and develop the deep-learning network depends on the algorithm's errors.
By jiajun z
•Oct 20, 2018
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
By Adrianus B K
•Oct 15, 2018
What is shared in this course is very practical and will be very valuable to anyone embarking on a real machine learning project
By Md Z S
•Aug 13, 2018
Great insight on how to structure and plan a new project. Lot of practical examples of diagnosing an error and how to tackle it.
By Assaf K
•Jun 2, 2018
Very practical course. Provides really great tools and methodologies for running ML project in the industry. Love it, thank you!
By Vaibhav J
•Oct 17, 2017
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
By Zhiyang W
•Aug 21, 2017
Useful experience from Professor Ng's work in building machine learning projects throughout the course. Very useful and helpful!
By Niels M
•Dec 14, 2022
Everyone can make a network, not everyone can improve it. This course is probably the most valuable one in this specialization.
By Muhammad I
•Jan 14, 2021
Awesome to complete and acquire new dimensions of course to boost skills in the AI paradigm. Thanks to Coursera and Instructors
By Mohamed M K
•May 27, 2020
Many thanks Andrew Ng, your way of teaching things is so motivating and captures attention for sure. you're simply the best !!!
By Luiggi S A G
•May 25, 2020
I loved this course, I learned a lot of how to start and manage a group project if I am starting a new machine learning project
By Anubhav B
•May 16, 2020
Very practical advises on this course. Instantly I saw them applied to one problem at hand and very schematic approach as well.
By Paul F G
•Jun 9, 2019
Great third course in the series! Feels like we are now catching up to what is currently out there and being done in the field.
By Dongrui J
•Mar 9, 2019
Much easier compared to the previous two courses.
Teaching more practice experience and advice rather than algorithm and coding.
By Onur A
•Jan 27, 2019
This course gives the strategies that can be applied to various learning problems. The quiz scenarios are also very instructive