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.
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.
创建者 Mahesh B K•
Although important, i think this should be the last course in the specialisation as it covers the harder parts of handling various errors and their causes before knowing how these models are trained
创建者 Nikolay B•
the best course in so far, not that much theory but a lot of "insides" from the field. However, still no practice, Im studying for 3 month and still have no idea how to create a real application.
创建者 Bradley D•
There's theory, but, without practice and application in my opinion. I did not like it because it seems to be easily forgotten seeing that I did not associate with practical excercises.
创建者 Matthew J C•
Most (if not all) of the information covered in this module was covered, perhaps with a little less depth, in the previous modules. However, it's probably worth repeating.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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!
创建者 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
创建者 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 :(
创建者 Kedar A P•
This course is too theoretical, would like to see some multi task learning or transfer learning programming assignments.
创建者 Viliam R•
i missed practical (programming) assignments here. quizes are great, but could never substitute for getting hands dirty.
创建者 Vishal K•
The weakest of the three so far - comparatively lots of fluff. Unclear definitions with lots of perhapses and maybes.
创建者 Benoit D•
I have been working in industry for 5 years now and this are not really the problems we encounter in practice.
创建者 Mads E H•
Not applicable enough. I think you need more tooling around DL before these meta lectures makes sense.
创建者 Dafydd S•
Had the feeling of a "filler" course although it was interesting to hear about the various challenges
创建者 Alexander V•
A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.
创建者 Nahuel S R•
Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido
创建者 Peter E•
Too theoretical. It would be good to have some practical (programming) assignments here as well.
创建者 Mohamed E•
Not much to learn in this course, basic recommendations can be condensed in one or two lectures
创建者 Jordi T A•
A lot of the content seemed redundant both within the lectures and with the previous courses
创建者 Clement K•
Interesting but redundant. It's not worth an entire course, even if it's only two weeks