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.
创建者 Nick S•
even though there are great tips and advices, it does not justify an entire course and they can be mentioned in 3 videos so a lot of the videos were repetitive.
创建者 Kan X•
I like this specialization in general. However, this third one has too many overlapping contents and some videos are not that useful. Just personal opinion.
Homework is lacking. It is too easy to pass. I feel like the programming task or homework task fell short. The lectures were good but too little practice.
创建者 Hanbo L•
Good non-technical materials, but short enough to be incorporated into other courses. Some aspects feel subjective. Many typos/minor mistakes in quizzes
创建者 vincent p•
Was really enthousiastic about the first two courses in the specialization, the third however felt a bit like going back a step in level of advancement.
创建者 Rishabh G•
A different course for only two weeks of content? This is nuts. I waited for 15 days for financial aid to be approved and I completed it within 5 days.
创建者 Leitner C S E S•
Only interesting if you don't have much experience with machine learning; Might or might not be great if you are a novice, though - hard to say for me.
创建者 Deleted A•
There was some very valuable material. However, I think some of the videos could have been prepared a little bit better and could do with more editing
创建者 Carsten F•
Course was less interesting than the other parts. Also very negative that the last part of the 5-part specialization is taking ages to be finalized.
创建者 Dany J•
Good content, but could definitely benefit from a more fleshed out problem to solve. The content beg for a larger concrete coding exercice project.
创建者 John J•
Appears to be some errors in the section titles (Flight Simulator??). Also, some parts didn't seem to be as polished as the previous two courses.
创建者 Hugo J•
It's easy and more simple than the others in specialization. Can be more deeper into ML project organization management. It's ok, could be better!
创建者 Jordon B•
This course did not contain programming assignments, only quizzes, and was thus considerably less useful, even though the knowledge was important.
Quite some questions are confusing and some are not correct itself. and this course is more concept based, didn't actually get to program a lot.
创建者 Giacomo A•
Contains some useful tips, but they are a bit too diluted - I feel like it could have lasted much less and still conveyed the same information.
创建者 Yancey S•
This course provides some interesting insights into how to approach machine learning projects, but feels a little light on substance at times.
创建者 Even G•
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.
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.