MG
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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.
SV
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This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience
By Artem M
•Apr 23, 2018
Too much information in too little time. Additionally, all information is mostly practical, and having no real exercises makes it hard to remember all the details.
By Haim K
•Jul 3, 2020
The course should be much shorter (e.g. half a week). The messages are pretty straightforward and could have been passed in one quarter of the time.
By Iscru-Togan C T
•Dec 12, 2020
The videos are to long and it presents some topics purely hipothetical. You basically spend a couple of hours without developing any useful skill
By everglow
•Jan 27, 2019
I still feel a little confused when I have so many options to improve my NN. This course is less clearly taught than the two former to this one!
By Saad K
•Sep 12, 2017
I found it quite verbose... Could have easily been shrunk and fit inside the other course... Don't think it needs a separate course for this
By Stephen E
•Jul 30, 2022
The quiz questions were often vague enough that it was easy to justify wrong answers using specific reasoning from the lessons.
By BO F
•Jan 14, 2022
The exam's some question aren't consisted in the course. It's a bad learning experience compared with the previous two course.
By MatÃas L M
•Oct 29, 2017
Really bad course. Even the professor does a good job at explaining everything, it does not seem to be a technical course :(
By kedar p
•Jul 18, 2018
This course is too theoretical, would like to see some multi task learning or transfer learning programming assignments.
By Viliam R
•Oct 21, 2017
i missed practical (programming) assignments here. quizes are great, but could never substitute for getting hands dirty.
By Vishal K
•Dec 17, 2017
The weakest of the three so far - comparatively lots of fluff. Unclear definitions with lots of perhapses and maybes.
By Benoit D
•Aug 15, 2017
I have been working in industry for 5 years now and this are not really the problems we encounter in practice.
By Mads E H
•Oct 26, 2017
Not applicable enough. I think you need more tooling around DL before these meta lectures makes sense.
By Dafydd S
•Oct 23, 2017
Had the feeling of a "filler" course although it was interesting to hear about the various challenges
By Alexander V
•Feb 25, 2018
A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.
By Nahuel S R
•Mar 4, 2020
Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido
By Peter E
•May 2, 2018
Too theoretical. It would be good to have some practical (programming) assignments here as well.
By Mohamed E
•Nov 22, 2017
Not much to learn in this course, basic recommendations can be condensed in one or two lectures
By Jordi T A
•Aug 28, 2017
A lot of the content seemed redundant both within the lectures and with the previous courses
By Clement K
•May 11, 2020
Interesting but redundant. It's not worth an entire course, even if it's only two weeks
By Péter D
•Oct 6, 2017
long videos saying actually very little ... disappointment
By Andrey L
•Oct 29, 2017
Quite boring and not so interactive like the first course
By harsh s
•Sep 22, 2020
good but more theoretical course rather than pratical
By Kaarthik S
•May 25, 2020
this is the boring course in the specialization
By Thomas A
•Oct 2, 2019
Can be better, but there's way too much fluff