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.
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 Rishabh G•
May 22, 2020
A different course for only two weeks of content? This is nuts. I waited for 15 days for financial aid to be approved and I completed it within 5 days.
By Leitner C S E S•
Sep 15, 2017
Only interesting if you don't have much experience with machine learning; Might or might not be great if you are a novice, though - hard to say for me.
By Deleted A•
Oct 14, 2017
There was some very valuable material. However, I think some of the videos could have been prepared a little bit better and could do with more editing
By Carsten F•
Jan 30, 2018
Course was less interesting than the other parts. Also very negative that the last part of the 5-part specialization is taking ages to be finalized.
By Dany J•
Nov 15, 2017
Good content, but could definitely benefit from a more fleshed out problem to solve. The content beg for a larger concrete coding exercice project.
By John J•
Apr 18, 2021
Appears to be some errors in the section titles (Flight Simulator??). Also, some parts didn't seem to be as polished as the previous two courses.
By Hugo J•
Nov 2, 2020
It's easy and more simple than the others in specialization. Can be more deeper into ML project organization management. It's ok, could be better!
By Jordon B•
Jan 31, 2018
This course did not contain programming assignments, only quizzes, and was thus considerably less useful, even though the knowledge was important.
Oct 12, 2017
Quite some questions are confusing and some are not correct itself. and this course is more concept based, didn't actually get to program a lot.
By Giacomo A•
Jan 28, 2018
Contains some useful tips, but they are a bit too diluted - I feel like it could have lasted much less and still conveyed the same information.
By Yancey S•
Sep 25, 2018
This course provides some interesting insights into how to approach machine learning projects, but feels a little light on substance at times.
By Even G•
Oct 20, 2017
Great content. Some strange audio that I think should've been cut (especially in week 2). I suspect the week 2 quiz is a little buggy as well.
By Mayur S•
May 25, 2020
The course material can be clubbed with existing courses. It would have been much more meaningful with some examples and hands-on assignments
By Rindra R•
Oct 11, 2017
Covered important topics and real-world project considerations. However, the content and assignments are too short to make it a full course.
By Daniel S•
Jun 25, 2020
This time it was not that well-structured than the previous courses. I thought we would learn how to structure step by step an ML project.
By José G•
Apr 18, 2020
Lots of information, few knowledge
Change name to "Struc. Deep Learning Projects", all other forms of ML not considered, specially for P2.
By Eric K•
Jul 21, 2018
Too much similar material to the prior course, and only two simple quizzes, no hands-on programming assignments like in earlier courses.
By Eric M•
Oct 20, 2017
A fundamentally very good course with a few technical gltiches that can be easily corrected and some confusing elements to be clarified.
By Steve K•
May 21, 2018
I think this lecture is important for every research scientist. However, there was no programming examples so I was confused sometimes.
By Michael L•
May 1, 2018
No programming assignments or labs, so too much theory, and too little chance to put same into practice. Not a good value for my money.
By Max S•
Dec 13, 2017
Still good but getting much sloppier. Bad editing of the videos, some exercises plain wrong and staff not reacting to forum posts, etc.
By Xiang L•
Apr 26, 2021
This session might not be very helpful for people from different backgrounds such as non-industral level application of deep learning.
By Lars L•
Dec 30, 2017
Course materials need some cleanup. Were a number of audio blips, in the video. Material was good but just didn't seem as polished.
By nitin s•
Jun 25, 2020
Decent learning. Though quite some stuff, I felt as repetitive and obvious.
I wish there was some programming exposure as well here