Day 13 Instructor-Led Video — Normalization Layer

Core Claim

A canonical normalization layer prevents alias and shape drift across sources.

Why It Matters

This is where a familiar label can hide a different rule. A canonical normalization layer prevents alias and shape drift across sources. When the matrix is named first, the answer stays fair. When it is skipped, the claim sounds cleaner than it is.

Practical Takeaway

Before answering any family-spanning question, write one line that states matrix type, object type, and primary metric.

Common Misread

Treating source aliases as if they were the truth.