Quite a few English mistakes and poor formatting in the labs

It's the most difficult course in this specialisation..

Few mistakes of words as an artificial voice was used.

There is a number of errors in the courses and in quiz

Very useful, although assignations are a little easy

less one star due to the many errors I noticed in the

Should have more content which covers with examples

I think the final asg should be more challenging

Somebody please use a spell-checker on this ...

A very good course to get started with pytorch

Great Course for beginners in pytorch

some bugs on content and windows

good explanation with examples

very practical, lack of theory

The questions are too simple.

I could learn about PyTorch

No programming assingments

Very good course.

Good knowledge.

Good lecture...

very practical

Challenging

mid

The content of this course is actually quite good. Videos are clear. There is no material overload like in the Course 3 of this specialization.

The bad thing is the same as for all the previous courses: the absolute absence of any graded coding practice. All of the "shift+enter Labs" are hilariously inadequate to help retain anything you've learned during lectures. It's like learning PyTorch by watching how your neighbor is writing all of the code. A complete waste of time.

In addition, the quality of the quizzes has also degraded quite a bit when compared to the very previous course. The idea that anyone would be challenged by a quiz with only 2 questions, each with a multiple choice out of 2 potential answers, one of which is always nonsensical, is just laughable. Makes you wonder what kind of audience they made this course for, as the absolute majority of the quizzes are of this retarded type.

The content of the course is interesting and light and allows for a good basic understanding of the topic. However, the presentation is not good. The automated narration in the videos is often weird and repetitive. The visual presentation is also not great, the colors and diagrams help very little with the understanding of what's happening in the routines (except for the skecthes of the neural networks themselves, which are pretty good). The lab notebooks are riddled with typos. The course would be improved by having a more detailed discussion of what's going on in the code before practice in the labs. Otherwise, I recommend the course for anyone who is starting in the field.