IBM의 Deep Neural Networks with PyTorch 학습자 리뷰 및 피드백

quality of videos at the beginning of course are low, fells like the machine is reading it

To focus in the coding but not the underlying structure of the library and how to use it.

Very Basic course. Would have enjoyed more interesting examples in the notebooks

Found it very difficult to follow some of the content and assignments

There are a lot of mistakes in the slides and video but no updates

OK for beginners, superficial exercises and quizzes.

The course is too heavy to have just one project.

A number of mistakes were found in the course.

Material is good but riddled with grammatical errors and random typos that only make learning more difficult. Also topics are covered at a very minor depth and I often had to look through many additional resources to understand each topic presented.

The quizzes are a complete joke. If you're hoping employers will take Coursera certificates seriously, the standard of assessment here is not good enough by a long long way.

Very technical and math-oriented. Even after completing it, I have no idea how to apply it to the real world. Seems everything is read using a computer voice.

I found the course instruction is confusing, sequential and class module should be in different video parts

The external tool did not work. I believe there were some maintenance issues. Not good enough.

T​he course contents are not very interesting, and the quizzes are way too easy.

Not engaging. Had problems opening the notebooks at the beginning of the course

A lot of mistake in the materials.And some labs exercise were unreachable.

Quite a few errors and lacking flow in the explanations.

not indepth enough explaination

Very high level.

The course is extremely slow and low level. Some important information on the slides might be around for less than a second, whereas unimportant information might be repeated several times. There is too many quite similar labs and very few background information. The practice parts and even the final assignment are way too simple.

At least, it seems one is able to learn some basic notion of PyTorch,

Utterly abysmal! The lecturer is clearly reading from a script an never actual explains or discusses anything.

The monotonous tone is surely a ML synthesis?

All of the usual typos and code bugs, however even worse than is the fact that some key slides only stay on screen for less than 1 second. A very poor effort on the lecturer's part.

this has been the worst course I have ever seen... the guy is not able to explain as it seems the audience of his course are mathematicians... he makes explanations by showing things and saying numbers but without explaining the principles behind it...

Overall good course and labs. But labs are so unstable, that it makes this course useless. Out of 4 weeks labs were not accesible for more than a week. Not recommended

the explanation is not in detail. Course Structure is confusing as well. Sometimes the concepts taught are not entirely correct. Overall not a good experience.

Sorry to say, but I really had some high hopes from this course, but this course is not meant to be a part of any specialization.