2025-12-17

Why is Differentiation Essential in Deep Learning? (Linear Algebra, Really?)

We unpack why differentiation is indispensable in deep learning from a developer’s perspective. In models that blend linear algebra with non‑linear functions, differentiation acts as a compass guiding error reduction, enabling efficient training through gradient descent and backpropagation. The post explains how parameters are adjusted and how non‑linearity’s complexity is managed step by step.