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.
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.
创建者 Mayur S•
The course material can be clubbed with existing courses. It would have been much more meaningful with some examples and hands-on assignments
创建者 Rindra R•
Covered important topics and real-world project considerations. However, the content and assignments are too short to make it a full course.
创建者 Daniel K•
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.
创建者 José G•
Lots of information, few knowledge
Change name to "Struc. Deep Learning Projects", all other forms of ML not considered, specially for P2.
创建者 Eric K•
Too much similar material to the prior course, and only two simple quizzes, no hands-on programming assignments like in earlier courses.
创建者 Eric M•
A fundamentally very good course with a few technical gltiches that can be easily corrected and some confusing elements to be clarified.
创建者 Bongsang K•
I think this lecture is important for every research scientist. However, there was no programming examples so I was confused sometimes.
创建者 Michael L•
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.
创建者 Max S•
Still good but getting much sloppier. Bad editing of the videos, some exercises plain wrong and staff not reacting to forum posts, etc.
创建者 Lars L•
Course materials need some cleanup. Were a number of audio blips, in the video. Material was good but just didn't seem as polished.
创建者 Nitin S•
Decent learning. Though quite some stuff, I felt as repetitive and obvious.
I wish there was some programming exposure as well here
创建者 Taavi K•
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.
创建者 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
创建者 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.
创建者 Massimo A•
More theoretical than the other courses in the specialisation but still very high quality.
Short but with a lot of information.
创建者 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...
创建者 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.
创建者 Shuai W•
The content of this course is a bit too little for me.
However, it provides useful guidance for my projects. Much appreciated!
创建者 Gary S•
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
创建者 Pejman M•
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
创建者 Nithin V•
Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material
创建者 Panos K•
The pace of the first part of the course was too slow. The second part (from Transfer learning onwards) was much better.
创建者 Mustafa H•
This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
创建者 Ahmed A•
course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.