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.
Jul 1, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
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 Bongsang 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
By Taavi K•
Nov 29, 2017
Too short on its own (took half a day to go through the whole thing), could have been combined with Course 2 of the specialization.
By Jean-Michel P•
Jun 29, 2021
I feel like this course should be broken down and included in the other courses to get better context within these other courses.
By sai r t•
Aug 6, 2018
this session was good it would be more better if they provided the code of them..so that we could be abke to learn more from them
By Denys G•
Nov 23, 2017
Felt a bit rushed, each video was full of good tips but personally I think each video should have been a jupyternotebook instead.
By Massimo A•
Nov 18, 2017
More theoretical than the other courses in the specialisation but still very high quality.
Short but with a lot of information.
By David P•
Oct 17, 2017
Not nearly as good as the first two courses. These two weeks should probably be added into the second course at some point...
By Oliver O•
Oct 16, 2017
Would like more applied discussion and for it to be Longer. In particular I would like to see a discussion on class imbalance.
By Shuai W•
Sep 19, 2017
The content of this course is a bit too little for me.
However, it provides useful guidance for my projects. Much appreciated!
By Gary S•
Sep 15, 2017
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
By Pejman M•
Oct 21, 2017
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
By Nithin V•
Jan 3, 2021
Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material