Good explanation with examples of code in python. The concept of convolution can be elaborated upon further as to it's genesis and how multiple processing techniques such as max pooling impact performance

Content wise this is very good for beginners, who have basic Numpy, Python, DL understanding. Only issue would be the automated voice of the instructor. That can be changed to make it more human friendly!

The material is good. I found the assignments a bit too easy. A bit more challenge would be welcome. I found the artificial voice with the lectures to be distracting. The AI isn't quite good enough.

I learned loads in this course. I'm quite familiar with Keras so it was good to use a different package. The instruction was very clear but LONG. I would have liked the labs to have been more involved.

A nice landing on Pytorch and basic Deep Learning concepts. I liked the collection of code and practical examples. If only, I missed having more difficult practical assignments along the course.

Excellent course, works its way through basics to fully fledged machine learning models at a good pace. A few of the examples used in the lab code throw errors, these should be rectified

Course material is great, although it has some errors, as on the video slides as in the notebooks. This should be rectified. Also, the assessments and quizzes should definitely be harder.

Pros: The course is extremely well structured. The presentations are very informative and clear also well explained.

Cons: The assignments and quizzes are not challenging at all

Good to dive into Deep Learning and get some PyTorch basics. However, there're sometimes mistakes in the assignments. Also, the explanations can sometimes be a bit confusing.

Amazing course for a beginner in Deep Learning & Pytorch.

I gave 4 stars as I expected it to be more pytorch heavy.

Overall, a really good crafted course.

Very intensive course. Could do more training labs. But this is definitely a very dense course. Extremely helpful to get started on ML/Deep Learning.

Good introduction of PyTorch. There are some minor code errors and inconsistencies in the material but generally not difficult to figure it out.

Really enjoyed this course - the labs were excellent and helped me understand the process more easily than simply looking at the math.

Good PyTorch training course with clear structure and content in general, except that there are some small bugs in the labs.

The courses provides basic knowledge, but I wish that it was a bit more advanced and had more challenging assignments.

Good course. Quite a few typos, videos too fast, and needed to fix some labs to get them to run hence only 4 stars.

Some of the courses are quite harsh, but finally come all togheter and there's a light at the end of the tunnel.

The course was great! The material and instruction is really nice. But so many typo especially in the quiz.

the course is good, detailed, and practical, but the shortcoming is the lab quality, need to be imporved

It's a basic course of using PyTorch to establish CNN or other type of model,useful but kind of simple.

This is a nice course overall, however quizzes are very easy and course content is not 100% accurate.

Some explanations were very in detail but other examples went very fast, esp. the practice.

I would like to get more difficult Quizez... The Labs are very detailed and understandable.

Detailed explanation about pytorch! I expect more examples and harder tests and assignments

Course is good but too long and the instructor may want to slow down his narrative.