Getting Started with PyTorch Part 1: Understanding How Automatic Differentiation Works

When I started to code neural networks, I ended up using what everyone else around me was using. But recently, PyTorch has emerged as a major contender in the race to be the king of deep learning frameworks. What makes it really luring is it's dynamic computation graph paradigm. Don't worry if the last line doesn't make sense to you now. But take my word that it makes debugging neural networks way easier.