Embracing the Chaos: Why Stochastic Noise is the Secret to Neural Network Learning

Moving from exact Gradient Descent to Stochastic Gradient Descent is not just a computational compromise but a strategic choice for better AI. The inherent noise in SGD acts as a vital mechanism for models to escape local minima and find flatter, more generalized solutions in complex loss landscapes.