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Why Straight Lines Aren’t Enough: Understanding Non-Linearity in Neural Networks
Understanding the foundational mechanics of a neural network often begins with a familiar mathematical concept: the straight-line equation. As explored in previous discussions utilizing the linear formula $y = ax + b$, a straight line provides an intuitive entry point into how models map inputs to outputs. However, a critical question arises when examining real-world…
