Dec 1, 2020
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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 Francesco D Z•
Sep 25, 2017
Great class overall. Some practice example on multi-task would have been nice.
By Steve D•
May 10, 2020
Great course for a coding professional to improve on their fine tuning skills
By Maik F•
Apr 1, 2019
Greate knowledge, but I had a hard time motivating myself through this theroy
By José A M•
Aug 5, 2018
Good background theory for people starting in the field to get familiar with.
By Kumar V•
Oct 15, 2017
Good learning , teaches us how to diagnose and plan machone learning project.
By Fredy A O L•
May 29, 2020
El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales
By Isara D S•
Apr 23, 2020
As always loved the course, simulations were great and challenging to answer
By Jeff N•
Mar 18, 2018
I would have loved more programming assignments and opportunity to practice.
By Mateusz O•
Jan 5, 2021
Kinda more theory-based compared to the last two, but still good regardless
By Animesh S•
Jun 16, 2019
I see the point, but takes too long to make it. But part of a great series.
By Umberto S•
Apr 5, 2019
useful hints and techniques to manage ML Projects and choose right approach
By Sothiro P•
Sep 11, 2018
I thought the course was clear and gave useful tips in leading a ML project
By Vito D•
Sep 22, 2017
A bit short, maybe combine this into other courses? Or expand it with labs?
By Francisco J M O•
Dec 29, 2020
Muy interesante, se aprende mucho en situaciones aplicables a la vida real
By Jean-Michel C•
Dec 30, 2018
Very useful tricks / method to approach typical machine learning projects.
By Mandlenkosi N•
Dec 10, 2018
I loved the use cases it gave a practical uses of what I've been learning.
By subho c•
Sep 29, 2018
Some hands on exercise to complement the theory would have been excellent.
By Yisheng Y•
Jan 25, 2018
I am pretty surprise that this course does not have programming assginment
Oct 17, 2017
provide student with some code tests like previous courses may be better .
By Ruifang W•
Aug 23, 2017
quite detailed and easily accepted way of understanding all the materials.
By Sergey I•
Aug 22, 2018
Good and useful material. However the homework is not challenging enough.
By Nimrod P•
Feb 6, 2018
Some video issues, give this course a slightly lower production values...
By Abhishek R•
Nov 27, 2017
Very useful for people working in ML. Short on content but one of a kind.
By Matteo P•
Sep 23, 2017
Lot of blanks and glitches in the videos. Should be better reviewed by QA
By Leon M W•
Dec 26, 2020
Nice but not as informative and well crafted as the previous two courses