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.
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!).
автор: 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...
автор: 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.
автор: Shuai W•
The content of this course is a bit too little for me.
However, it provides useful guidance for my projects. Much appreciated!
автор: Gary S•
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
автор: Pejman M•
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
автор: Nithin V•
Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material
автор: Panos K•
The pace of the first part of the course was too slow. The second part (from Transfer learning onwards) was much better.
автор: Mustafa H•
This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
автор: Ahmed A•
course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.
автор: Kevin Q•
lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses
автор: Arghya R•
Could have more case studies and above all. Also programing assignments on self driving car could have been better
автор: Okhtay A•
A bit too free form compared to the other courses in deep learning specialization, but maybe that was the goal.
автор: Masih B•
This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)
автор: Janet C•
Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.
автор: 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.
автор: Rob W•
Seemed to be information that could have been included in another course rather than its own 2 week course.
автор: Idan P•
Lectures can be summed up by: "use common sense".
Quiz can be summed up by "to pass, use OUR common sense".
автор: Abd-Elrahman B•
The quiz questions are quite confusing and some of them are not consistent with the content of the videos.
автор: Rishabh B•
Slightly repetitive from previous courses. Could have been integrated with the future or previous course.
автор: Barnoviciu E•
Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"
автор: Tim U•
More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.
автор: Iam P d S•
This course was shorter and didn't have any programming assignments. Could've been part of course 2.
автор: Aswin R•
Didn't turn out to be much useful. Could've added more content or added as a part of other courses.
автор: Yue E•
Unfortunately, it did not match with my expectations, too much theory and no programming exercises.