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I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch
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Very exciting courses. Everything explained carefully but easily to understand. Great courses. This course really help me a lot on my journey to learn deeper about deep learning. Thank you very much.
By 雷后超
•Apr 20, 2018
很好很好
By Yicheng Y
•Apr 4, 2018
BEST
By Bảo Đ
•Feb 28, 2018
Nice
By Nathan W
•Jan 26, 2018
Done
By Aaron Z
•Jan 23, 2018
good
By Цхондия Г А
•Jan 1, 2018
cool
By 孔昕
•Dec 14, 2017
清晰易懂
By blaze s
•Dec 12, 2017
nice
By skyfacon
•Dec 6, 2017
nice
By Pragadheeswaran S V
•Nov 27, 2017
Best
By 刘其波
•Nov 26, 2017
good
By Hugsy W
•Nov 5, 2017
good
By 华卓隽
•May 13, 2019
666
By Kaustubh D
•Oct 7, 2018
Wow
By 仇艺蒙
•Mar 23, 2018
100
By Sweta c
•Aug 23, 2020
ok
By Ming G
•Aug 26, 2019
gj
By Pham X V
•Nov 6, 2018
:
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By Miguel Á G G
•Jul 30, 2019
.
By Gilles A
•Aug 1, 2018
V
By shuhaohe
•May 22, 2018
g
By Yujie C
•Feb 6, 2018
好
By Rich B
•Nov 28, 2017
G
By Александр В
•Nov 16, 2017
.
By Ryan M
•Nov 16, 2017
Given the very high quality of Professor Andrew Ng's lectures, I wanted to give this five stars, and I have given his previous classes five stars for that reason. You truly do learn a lot from what he teaches!
Sadly I have to downrate this particular class due to huge technical problems with submitting Jupyter notebook based assignments. In particular, week 4's face recognition assignment was marred by several issues. For one thing, the grader would often crash and report technical issues instead of grading the assignment. For another thing, the grader would also take 30 to 60 minutes to run, which is far longer than it takes to actually run the Jupyter notebook itself! Finally, and quite seriously, in order to get 30/30 on the face recognition assignment of week 4, I had to submit an INCORRECT answer due to a bug in the grader itself. At least for me these are primarily week 4 issues.
This class is still a terrific value and a valuable course for anyone wishing to study deep learning, and I am planning to make good use of these lessons. But I do believe that especially for the face recognition assignment it would have behooved the developers to test the assignment thoroughly before making it available to students and also to correct the substantial quality problems (i.e. failing a correct answer and accepting a wrong answer along with grader crashes) involving the grader. I hope these programming assignment quality problems do not appear again in the fifth course on recurrent networks because I am very much looking forward to that particular course given some of the projects I work on!
I was torn on whether to give this three stars only or four stars but decided that given the overall learning value I am still giving it four stars. But again I do hope the developers are reading these reviews and also the discussion forums regarding the major quality issues involving the face recognition programming assignment. The other assignments were very good and did not pose such ridiculous issues (my experience only.)