Stochastic Gradient Descent (SGD) is a fundamental optimization algorithm that has become the backbone of modern machine learning, particularly in training deep neural networks. Let’s dive deep into how it works, its advantages, and why it’s so widely used. The Core Concept At its heart, SGD is an optimization technique that helps find the minimum … Continue reading Stochastic Gradient Descent: Learn Modern Machine Learning