The course gave a decent and well-structured introduction to PyTorch. However, I would have hoped for less typos (including in the code on the slides), more challenging and instructive quizzes and real exercises (there are instructive labs, but the practice section is usually only a very slight modification of the already given code).

Awesome course for learning the basics/fundamentals of Pytorch. However the labs often would not run some of the more complex or CPU-intensive models, so I would suggest downloading the labs to your local machine. Also could have also used more assignments for hands-on experience, but I would recommend this course.

Exceptional course. The lectures were little monotonous and robotic, I like this courses to be instructed by human speakers, but this did not affect the content of this course, the clarity on the topics and how well it was explained, it helped also to improve my knowledge on computer vision.

Great course.

Very good fundamental course.

It will be good if real data is used in lab rather than using virtual data.

Also, the notebook's hyperlink of the final assignment isn't work. I can't import the notebook to Watson studio and finish the assignment, please fix it, thank you.

Explanation was confusing as time, and text-to-speech lecturer made it harder to engage. Lots of typos and unintuitive phrasing. However, taught useful skills, and all the resources were there to do own thinking/research and eventually understand everything.

Concepts presented in nice bite size chunks. Labs help reinforce concepts. BUT, felt like course was just a bunch of pieces with little assembly. Kinda like finding a box of LEGOs (r) with nothing to really build from them.

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