MG
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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.
SV
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This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience
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
By dh
•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
By Nabham G
•May 25, 2020
Got to learn some insights and guidelines for machine learning projects.
By Madhumathi R
•May 29, 2019
It could have been the last course in the specialization instead of 3rd.
By Sébastien D
•Nov 17, 2017
Some effort should be put in editing the videos. Else it is pretty good!