A Beginner-Friendly Guide to PyTorch and How it Works from Scratch

Every once in a while, there comes a library or framework that reshapes and reimagines how we look at the field of deep learning. The remarkable progress a single framework can bring about never ceases to amaze me. I can safely say PyTorch is on that list of deep learning libraries. It has helped accelerate the research that goes into deep learning models by making them computationally faster and less expensive (a data scientist's dream!). I've personally found PyTorch really useful for my work. I delve heavily into the arts of computer vision and find myself leaning on PyTorch's flexibility and efficiency quite often. So in this article, I will guide you on how PyTorch works, and how you can get started with it today itself.