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.
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.
por Raghu t D•
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
por Denys G•
Felt a bit rushed, each video was full of good tips but personally I think each video should have been a jupyternotebook instead.
por Massimo A•
More theoretical than the other courses in the specialisation but still very high quality.
Short but with a lot of information.
por David P•
Not nearly as good as the first two courses. These two weeks should probably be added into the second course at some point...
por Oliver O•
Would like more applied discussion and for it to be Longer. In particular I would like to see a discussion on class imbalance.
por Shuai W•
The content of this course is a bit too little for me.
However, it provides useful guidance for my projects. Much appreciated!
por Gary S•
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
por Pejman M•
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
por Nithin V•
Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material
por Mustafa H•
This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
por Ahmed A•
course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.
por Kevin Q•
lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses
por Arghya R•
Could have more case studies and above all. Also programing assignments on self driving car could have been better
por Okhtay A•
A bit too free form compared to the other courses in deep learning specialization, but maybe that was the goal.
por Masih B•
This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)
por Janet C•
Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.
por Aniruddh B•
Very nice, but I don't believe the content merits a full course. It could be integrated with courses 1 and 2.
To much talk but understandable. Need something like programming examples with different data distributions.
por Rob W•
Seemed to be information that could have been included in another course rather than its own 2 week course.
por Idan P•
Lectures can be summed up by: "use common sense".
Quiz can be summed up by "to pass, use OUR common sense".
por Abd-Elrahman B•
The quiz questions are quite confusing and some of them are not consistent with the content of the videos.
por Rishabh B•
Slightly repetitive from previous courses. Could have been integrated with the future or previous course.
por Barnoviciu E•
Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"
por Tim U•
More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.
por Iam P d S•
This course was shorter and didn't have any programming assignments. Could've been part of course 2.