TG
1 de dez de 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.
MG
30 de mar de 2020
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.
por David P
•17 de out de 2017
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
•16 de out de 2017
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
•19 de set de 2017
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
•15 de set de 2017
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
por Pejman M
•21 de out de 2017
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
por Nithin V
•3 de jan de 2021
Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material
por Panos K
•18 de abr de 2021
The pace of the first part of the course was too slow. The second part (from Transfer learning onwards) was much better.
por Mustafa H
•16 de jul de 2018
This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
por Ahmed A
•10 de jul de 2018
course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.
por Kevin Q
•19 de mar de 2018
lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses
por Arghya R
•19 de set de 2017
Could have more case studies and above all. Also programing assignments on self driving car could have been better
por Okhtay A
•5 de abr de 2020
A bit too free form compared to the other courses in deep learning specialization, but maybe that was the goal.
por Masih B
•18 de jul de 2020
This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)
por Janet C
•29 de jun de 2019
Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.
por Aniruddh B
•16 de abr de 2020
Very nice, but I don't believe the content merits a full course. It could be integrated with courses 1 and 2.
por Vitaliy
•28 de fev de 2018
To much talk but understandable. Need something like programming examples with different data distributions.
por Rob W
•12 de mai de 2018
Seemed to be information that could have been included in another course rather than its own 2 week course.
por Idan P
•28 de mai de 2018
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
•21 de dez de 2017
The quiz questions are quite confusing and some of them are not consistent with the content of the videos.
por Rishabh B
•3 de jan de 2020
Slightly repetitive from previous courses. Could have been integrated with the future or previous course.
por Eduard B
•18 de jan de 2021
Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"
por Tim U
•11 de jan de 2020
More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.
por Iam P d S
•14 de mar de 2018
This course was shorter and didn't have any programming assignments. Could've been part of course 2.
por Aswin R
•7 de mai de 2020
Didn't turn out to be much useful. Could've added more content or added as a part of other courses.
por Yue E
•7 de mar de 2019
Unfortunately, it did not match with my expectations, too much theory and no programming exercises.