quality of slides is quite bad and exercises are just a repetition of the class. Nevertheless the basic concepts are explained clearly

good material but you should polish the voiceover and check for spelling/formatting mistakes - of which there are many

I got trouble with some exercises, also there are some grammar errors and the explanation in some videos are not good

Very slow and redundant material with previous courses of the "IBM AI Engineering Certificat Professionnel"

More useful exmples in labs would be helpful to understand the possibilities with the method and tool

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.

There should be slides available for downoad.

The pace of the course was too fast.

The start is good, but in the last 2 week, many things are not clearly explained

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.

Was really good and could make a base for ML.

It is basically learning by copying code

Too theoritical

Good course

This

More "Beginner" than "Intermediate"

From the title i expected a course introducing the depthos of PyTorch for (intermediate) Data Scientists. Instead the course is a shallow introduction to feed forward and convolutional neural networks with a little bit of PyTorch. The course targets beginners who want to learn the basics of ANN / CNN models and learn their first deep learning framework. All others should search for another course.

There is some good information and explanations in weeks 5 and 6. Overall the course is very unstructured and most of the big "Whys" are not clarified. In addition some basic rules of teaching should be learned by the instructors and applied to design this course. If you should do it in the labs you MUST talk about it in the videos! People payed for these courses so they MUST NOT be forced to learn contents autoditactically!

This course is an OK introduction to Pytorch and neural networks for beginners, but many better such introductions exist. fast.ai would be my first recommendation. There are numerous spelling errors, some of which seriously affect the correctness of statements.

The quizzes only test trivial knowledge, and don't go into any real depth.

The total content of the course is maybe 4 hours.

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 material is fine but the presentation is not good.

-Often the lecturer shows not so important slides a few seconds but important slides only 0.5sec.

-So much about follow the code than really explaining what's going on.