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.
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.
By John H•
Poor video editing. Not enough graded material to feel confident that I fully understand the concepts proposed in the lectures. Definite step backwards from courses 1-2.
By Aayush S•
Could be better in terms of the concept taught. A course I would prefer as the last one in the specialization. Week 2 Material is good but whole course is too slow.
By Mikael B•
This course had a much less ambitious scope than the previous two courses and I think that the programming assignments are very important to help me learn properly.
By Artem M•
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•
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•
The videos are to long and it presents some topics purely hipothetical. You basically spend a couple of hours without developing any useful skill
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•
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 Matías L M•
Really bad course. Even the professor does a good job at explaining everything, it does not seem to be a technical course :(
By Kedar A P•
This course is too theoretical, would like to see some multi task learning or transfer learning programming assignments.
By Viliam R•
i missed practical (programming) assignments here. quizes are great, but could never substitute for getting hands dirty.
By Vishal K•
The weakest of the three so far - comparatively lots of fluff. Unclear definitions with lots of perhapses and maybes.
By Benoit D•
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•
Not applicable enough. I think you need more tooling around DL before these meta lectures makes sense.
By Dafydd S•
Had the feeling of a "filler" course although it was interesting to hear about the various challenges
By Alexander V•
A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.
By Nahuel S R•
Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido
By Peter E•
Too theoretical. It would be good to have some practical (programming) assignments here as well.
By Mohamed E•
Not much to learn in this course, basic recommendations can be condensed in one or two lectures
By Jordi T A•
A lot of the content seemed redundant both within the lectures and with the previous courses
By Clement K•
Interesting but redundant. It's not worth an entire course, even if it's only two weeks
By Péter D•
long videos saying actually very little ... disappointment
By Andrey L•
Quite boring and not so interactive like the first course
By harsh s•
good but more theoretical course rather than pratical
By Kaarthik S•
this is the boring course in the specialization