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.

This course was not to the same standard as some others I've taken on Coursera. I think the concepts would have been very hard to follow if I hadn't already taken the Deep Learning specialization, so it isn't a great conceptual introduction to Deep Learning. That said, it also doesn't deeply explore the nuances of the PyTorch library, or give very much guidance on best practices or how it differs from other popular frameworks like Keras/TensorFlow. The quiz questions are fairly shallow (and often frustratingly ambiguous). Probably the best part of the class are the ungraded lab assignments.

The course was generally interesting, introduced me to the most important concepts of the topic. BUT... I am used to higher quality delivery from the IBM course series. This one had many typos, errors, bugs both in the videos and in the labs. The responsible people should spend some time fixing the errors. The exercises sometimes were too easy, then all of the sudden the exam lab was pretty difficult. And I also had to spend an hour debugging an error... I'm slightly disappointed with this course

An ok overview and introduction to neural networks, although it does not build much upon previous modules in the IBM Deep Learning with PyTorch, Keras and Tensorflow certificate. Also it is let down by the frustrating peer review method at the end, whereby you need to submit print screens and then marker others work. We now have the technology for automated marking and it is frankly ridiculous course designers stick with a peer review model

I like to feel a human is teaching me, but I felt a robot is teaching instead. Also, many parts of the labs are copied from each other, and that's good, but the sentences and comments are forgotten unchanged and they don't belong to that lab. I preferred if the PowerPoints were designed better. Other than that, I can see that the author tried his best to include everything.

The presenter at times goes too fast and once he's finished talking the slide moves forward before there is time to absorb the material. The slides also contain errors. Should be more throughly reviewed. The labs also contain some bugs. The quizes contain some spelling mistakes and some of the quiz questions are unclear.