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.
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.
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.