22 de nov de 2017
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.
1 de dez de 2020
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.
por Leonardo M R•
27 de mai de 2018
Answers in the multiple choice seems incomplete for me, I don't necessary agree with the answers presented unless more detail on some context (that I don't think we should assume) is present for the questions.
por Пильгуй В Л•
3 de dez de 2019
This course is good, but here is so few practice. This is hard to understand without practice. Looks like I didn't understand many problems in this course. Need more explanation, more samples, more practice.
por David L•
22 de mai de 2018
Zero programming assignments, but simple quizzes that will make whatever you just learned as fleeting as the morning dew on a hot summer's day. Too bad, because otherwise the material is quite interesting.
por Mahesh B K•
30 de abr de 2020
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
por Nikolay B•
26 de out de 2017
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.
por Bradley D•
15 de jun de 2019
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.
por Matthew J C•
7 de mar de 2018
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.
por John H I•
21 de set de 2018
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.
por Aayush S•
19 de jul de 2020
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.
por Mikael B•
13 de set de 2017
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.
por Artem M•
23 de abr de 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.
por Haim K•
3 de jul de 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.
por Iscru-Togan C T•
12 de dez de 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
27 de jan de 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!
por Saad K•
12 de set de 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
por BO F•
14 de jan de 2022
The exam's some question aren't consisted in the course. It's a bad learning experience compared with the previous two course.
por Matías L M•
29 de out de 2017
Really bad course. Even the professor does a good job at explaining everything, it does not seem to be a technical course :(
por kedar p•
18 de jul de 2018
This course is too theoretical, would like to see some multi task learning or transfer learning programming assignments.
por Viliam R•
21 de out de 2017
i missed practical (programming) assignments here. quizes are great, but could never substitute for getting hands dirty.
por Vishal K•
17 de dez de 2017
The weakest of the three so far - comparatively lots of fluff. Unclear definitions with lots of perhapses and maybes.
por Benoit D•
15 de ago de 2017
I have been working in industry for 5 years now and this are not really the problems we encounter in practice.
por Mads E H•
26 de out de 2017
Not applicable enough. I think you need more tooling around DL before these meta lectures makes sense.
por Dafydd S•
23 de out de 2017
Had the feeling of a "filler" course although it was interesting to hear about the various challenges
por Alexander V•
25 de fev de 2018
A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.
por Nahuel S R•
4 de mar de 2020
Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido