学生对 deeplearning.ai 提供的 Structuring Machine Learning Projects 的评价和反馈

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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!

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

Really bad course. Even the professor does a good job at explaining everything, it does not seem to be a technical course :(

This course is too theoretical, would like to see some multi task learning or transfer learning programming assignments.

i missed practical (programming) assignments here. quizes are great, but could never substitute for getting hands dirty.

The weakest of the three so far - comparatively lots of fluff. Unclear definitions with lots of perhapses and maybes.

I have been working in industry for 5 years now and this are not really the problems we encounter in practice.

Not applicable enough. I think you need more tooling around DL before these meta lectures makes sense.

Had the feeling of a "filler" course although it was interesting to hear about the various challenges

A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.

Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido

Too theoretical. It would be good to have some practical (programming) assignments here as well.

Not much to learn in this course, basic recommendations can be condensed in one or two lectures