Blog 1: Foundations of Gradient Descent

This blog post introduces Gradient Descent as the fundamental optimization algorithm for neural networks, explaining how it iteratively minimizes a loss function. It uses the analogy of a blindfolded person navigating a hilly terrain to illustrate the core concept.