Why Backpropagation Is Key to Machine Learning Success

Backpropagation is the cornerstone of neural network training. It allows you to systematically adjust model parameters, ensuring predictions become more accurate over time. This process reduces errors by leveraging gradients and optimizers to fine-tune weights. You can observe its impact through key metrics: rapid error reduction during initial training…