Nov 22, 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.
Jul 1, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
By Leonardo M R•
May 27, 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.
By Пильгуй В Л•
Dec 3, 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.
By David L•
May 22, 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.
By Mahesh B K•
Apr 30, 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
By Nikolay B•
Oct 26, 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.
By Bradley D•
Jun 15, 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.
By Matthew J C•
Mar 7, 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.
By John H I•
Sep 21, 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.
By Aayush S•
Jul 19, 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.
By Mikael B•
Sep 13, 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.
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
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 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 Matías 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