TG
1. Dez. 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.
AM
22. Nov. 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.
von Yancey S
•25. Sep. 2018
This course provides some interesting insights into how to approach machine learning projects, but feels a little light on substance at times.
von Even G
•20. Okt. 2017
Great content. Some strange audio that I think should've been cut (especially in week 2). I suspect the week 2 quiz is a little buggy as well.
von Mayur S
•25. Mai 2020
The course material can be clubbed with existing courses. It would have been much more meaningful with some examples and hands-on assignments
von Rindra R
•11. Okt. 2017
Covered important topics and real-world project considerations. However, the content and assignments are too short to make it a full course.
von Daniel S
•25. Juni 2020
This time it was not that well-structured than the previous courses. I thought we would learn how to structure step by step an ML project.
von José G
•18. Apr. 2020
Lots of information, few knowledge
Change name to "Struc. Deep Learning Projects", all other forms of ML not considered, specially for P2.
von Eric K
•21. Juli 2018
Too much similar material to the prior course, and only two simple quizzes, no hands-on programming assignments like in earlier courses.
von Eric M
•20. Okt. 2017
A fundamentally very good course with a few technical gltiches that can be easily corrected and some confusing elements to be clarified.
von Bongsang K
•21. Mai 2018
I think this lecture is important for every research scientist. However, there was no programming examples so I was confused sometimes.
von Michael L
•1. Mai 2018
No programming assignments or labs, so too much theory, and too little chance to put same into practice. Not a good value for my money.
von Max S
•13. Dez. 2017
Still good but getting much sloppier. Bad editing of the videos, some exercises plain wrong and staff not reacting to forum posts, etc.
von Xiang L
•26. Apr. 2021
This session might not be very helpful for people from different backgrounds such as non-industral level application of deep learning.
von Lars L
•30. Dez. 2017
Course materials need some cleanup. Were a number of audio blips, in the video. Material was good but just didn't seem as polished.
von Nitin S
•25. Juni 2020
Decent learning. Though quite some stuff, I felt as repetitive and obvious.
I wish there was some programming exposure as well here
von Taavi K
•29. Nov. 2017
Too short on its own (took half a day to go through the whole thing), could have been combined with Course 2 of the specialization.
von Jean-Michel P
•29. Juni 2021
I feel like this course should be broken down and included in the other courses to get better context within these other courses.
von sai r t
•6. Aug. 2018
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
von Denys G
•23. Nov. 2017
Felt a bit rushed, each video was full of good tips but personally I think each video should have been a jupyternotebook instead.
von Massimo A
•18. Nov. 2017
More theoretical than the other courses in the specialisation but still very high quality.
Short but with a lot of information.
von David P
•17. Okt. 2017
Not nearly as good as the first two courses. These two weeks should probably be added into the second course at some point...
von Oliver O
•16. Okt. 2017
Would like more applied discussion and for it to be Longer. In particular I would like to see a discussion on class imbalance.
von Shuai W
•19. Sep. 2017
The content of this course is a bit too little for me.
However, it provides useful guidance for my projects. Much appreciated!
von Gary S
•15. Sep. 2017
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
von Pejman M
•21. Okt. 2017
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.