学生对 deeplearning.ai 提供的 Structuring Machine Learning Projects 的评价和反馈
课程概述
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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.
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.
4776 - Structuring Machine Learning Projects 的 4800 个评论（共 5,113 个）
创建者 Luis A P
•very nice
创建者 Yechan K
•Practical
创建者 IURII B
•Thank you
创建者 Abhijeet R P
•Great! :)
创建者 舒意恒
•very nice
创建者 TianPing
•内容稍稍有点重复。
创建者 Dave
•verygood
创建者 Yashika S
•good one
创建者 Xiong Z
•helpeful
创建者 M N N
•Awesome!
创建者 mingwei Z
•so well
创建者 靳雅麟
•没有中文字幕
创建者 Tất T V
•Useful
创建者 Takuya Kudo
•Cool.
创建者 Riyaz A
•g
r
e
a
t
创建者 SEUNGMO O
•good
创建者 akash k
•Good
创建者 Alaa E B
•good
创建者 CK P D
•Good
创建者 Annaluru K
•Well
创建者 VIGNESHKUMAR R
•good
创建者 zhesihuang
•good
创建者 CARLOS G G
•good
创建者 Felix E
•This is a 2-week follow-up on the previous two courses in this specialization.
While it's a decent course that goes over a few interesting topics, I have a hard time giving it more than three stars. Reasons for that are below:
(1) Especially the first week felt very slow and repetitive. Most of the material could have been summarized a much smaller timeframe.
(2) The course went over some interesting topics in a very high-level way, but skipped a lot of the details that would have been very interesting to people looking to learn deep learning in depth (like the target audience of this course!).
(3) While I think the approach of having some themed case studies for the test is neat, a lot of the answers left me thinking "well, the correct answer would also depend on X which isn't specified". Good concept to test knowledge in a "discussion/oral exam" session, but IMHO bad for hard "wrong or right" multiple choice tests.
(4) Some videos had "black screen" times at the end, errors, cut-offs and repetitions were not cut out, and overall I think this had the least amount of "polishing" of the courses in this specialization so far.
I'd have preferred if the content of this course were a bit more steamlined and merged it into the other courses of this specialization.
创建者 Aristotelis-Angelos P
•Overall, I think that it was a good course but in my opinion, the knowledge of this course cannot be easily transferred to people with very few experience in Machine Learning. Therefore, I was wondering whether it should be the 3rd course or the 5th course in this Deep Learning Specialization! Moreover, in order for someone to deeply comprehend these concepts such that he/she is able to apply them in a Machine Learning project, he/she should work on a project on his own where he/she will meet these concepts and will have to search in order to solve them.Last, personally, even though I am quite satisfied from the courses, I would expect that one more course is added to Coursera which is going to require to build a Deep Learning project! I think that this course should be of more advanced level and require (not Intermediate as those ones) and should require from students to build projects like the ones builded in the cs230 class from Stanford.Greetings from a PhD USC student
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