Improve description

Author: bpesquet

ABOUT.md

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 Most PyTorch learning resources are either out-of-date, confusing (why so many [official tutorials](https://pytorch.org/tutorials/)?) or unnecessarily complicated.
 
-In my opinion, the best resource from learning PyTorch from scratch was the [PyTorch Tutorial](https://github.com/yunjey/pytorch-tutorial) by [Yunjey Choi](https://yunjey.github.io/). Unfortunately, it has been unmaintained for years.
+In my opinion, a true gem for learning PyTorch from scratch was the [PyTorch Tutorial](https://github.com/yunjey/pytorch-tutorial) by [Yunjey Choi](https://yunjey.github.io/). Unfortunately, it has been unmaintained for years.
 
 This project aims to follow a similar path by providing a set of bare-bones, self-sufficient, and beginner-friendly examples. They illustrate the core parts of PyTorch in a step-by-step fashion, from tensor manipulation to the training of Deep Learning models. They strive to keep up with API changes and follow good practices.
 
-Rather than Jupyter notebooks, these examples are provided as pure Python files because I think it facilitates a global understanding of their structure. It also simplifies [code formatting](https://github.com/psf/black), [linting](https://github.com/pylint-dev/pylint) and [testing](https://docs.pytest.org).
+Rather than Jupyter notebooks, these examples are provided as pure Python files because I think it facilitates a global understanding of their structure. It also simplifies [code formatting](https://github.com/psf/black), [linting](https://github.com/pylint-dev/pylint), [testing](https://docs.pytest.org). All code examples are heavily commented and accompanied by README files for additional information.
 
 You are very welcome to contribute to the improvement of this project through [ideas](https://github.com/bpesquet/pytorch-tutorial/issues) or [corrections](https://github.com/bpesquet/pytorch-tutorial/pulls).