Deep Dive: Implementing Manual Backpropagation with a PyTorch-Inspired API

This article offers a fascinating look into the inner workings of neural networks by detailing the manual implementation of backpropagation, a key component of deep learning. By recreating the PyTorch API, the author offers a hands-on approach to understanding the mechanics behind gradient calculations and model training, which provides exciting educational opportunities. It's a great demonstration of how to build and understand deep learning models from scratch!