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.
TG
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.
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
By Panos K
•Apr 18, 2021
The pace of the first part of the course was too slow. The second part (from Transfer learning onwards) was much better.
By Mustafa H
•Jul 16, 2018
This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
By Ahmed A
•Jul 10, 2018
course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.
By Kevin Q
•Mar 19, 2018
lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses
By Arghya R
•Sep 19, 2017
Could have more case studies and above all. Also programing assignments on self driving car could have been better
By Okhtay A
•Apr 5, 2020
A bit too free form compared to the other courses in deep learning specialization, but maybe that was the goal.
By Masih B
•Jul 18, 2020
This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)
By Janet C
•Jun 29, 2019
Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.
By Aniruddh B
•Apr 16, 2020
Very nice, but I don't believe the content merits a full course. It could be integrated with courses 1 and 2.
By Vitaliy
•Feb 28, 2018
To much talk but understandable. Need something like programming examples with different data distributions.
By Rob W
•May 12, 2018
Seemed to be information that could have been included in another course rather than its own 2 week course.
By Idan P
•May 28, 2018
Lectures can be summed up by: "use common sense".
Quiz can be summed up by "to pass, use OUR common sense".
By Abd-Elrahman B
•Dec 21, 2017
The quiz questions are quite confusing and some of them are not consistent with the content of the videos.
By Rishabh B
•Jan 3, 2020
Slightly repetitive from previous courses. Could have been integrated with the future or previous course.
By Barnoviciu E
•Jan 18, 2021
Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"
By Tim U
•Jan 11, 2020
More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.
By Iam P d S
•Mar 14, 2018
This course was shorter and didn't have any programming assignments. Could've been part of course 2.