A directed acyclic graph with nodes representing operations and edges representing gradients flowing backward.

Backpropagation Demystified: How Neural Networks Actually Learn

Backpropagation is just the chain rule applied to a computational graph. Here’s how it works, why it scales, and how modern frameworks hide the math so you can focus on shipping models.

September 7, 2026 · 9 min · 1806 words · martinuke0
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