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.
AM
Nov 22, 2017
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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