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!).
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
By 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
By 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.
By Massimo A•
More theoretical than the other courses in the specialisation but still very high quality.
Short but with a lot of information.
By 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...
By 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.
By Shuai W•
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•
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
By Pejman M•
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
By Nithin V•
Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material
By Panos K•
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•
This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
By Ahmed A•
course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.
By Kevin Q•
lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses
By Arghya R•
Could have more case studies and above all. Also programing assignments on self driving car could have been better
By Okhtay A•
A bit too free form compared to the other courses in deep learning specialization, but maybe that was the goal.
By Masih B•
This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)
By Janet C•
Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.
By 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.
By Rob W•
Seemed to be information that could have been included in another course rather than its own 2 week course.
By Idan P•
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•
The quiz questions are quite confusing and some of them are not consistent with the content of the videos.
By Rishabh B•
Slightly repetitive from previous courses. Could have been integrated with the future or previous course.
By Barnoviciu E•
Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"
By Tim U•
More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.