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

The course is too heavy to have just one project.

A number of mistakes were found in the course.

The course material contains some really fantastic information, graphics, and programming assignments. However, the presentation of this material is absolutely terrible! It seems they intentionally tried to make the presentations as boring as possible. The lectures are monotone, the 15 second opening scene is annoying, and the content focuses 70% on the concepts of Deep Learning (which is fine) and 30% on PyTorch. So when you finish you do not feel very skilled with PyTorch.

Finally, ALL of the student complain that the programming environment is very often offline. You cannot do many of the assignments because the "Cognitive Classroom" is usually not working. However, the last lecture f each week contains the Jupyter notebooks for the assignments. You can download and then run them in some other environment like Google Colaboratory or IBM Watson Cloud. Also, most of the programs contain a programming omission that the students have to fix every time. The instructors have not fixed the problem which has been reported to them. So pay attention for the "Pillow Error" in Week 3 because you will be fixing it yourself in most assignments for the next 4 weeks.

Awful quality content that fails to teach or test you properly.

The videos are exceptionally poor using a text-to-speech narrator that makes you want to quit after only one video. Additionally, the quizzes are buggy with awful wording, typos, invisible options, and useless content. The biggest shame is that they don't use notebooks to test your learning with real examples that would reinforce both the theory & practical elements.

This course has no effort put into it & is clearly a money grab. Avoid this and instead try a deeplearning.ai or fast.ai course.

The general content of the course is good. However, I was experiencing a lot of problem accessing the lab platform. Also, there are typos and grammatical mistake everywhere in the quizzes. The audio of the video are done using computer generate voice over, instead of a real person speaking. I think the instructor of the course doesn't speak fluent English, which is understandable why computer voice over is used instead, but the non-stopping speech makes me a bit hard to concentrate sometimes.

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

Me resultó un tanto tedioso y demasiado largo. Se solapa con contenidos de otros cursos del certificado

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

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.

Very short videos. Speaking so fast. It's like presenting not education.

not indepth enough explaination

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.