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concepts → Objective

Objective

Loss function

timeless2 connections

the number training tries to make small — the formal statement of what you want

Where it sits

The prism has six jobs across and eight layers down. Its primary cell islearn × L0. Hatched cells cannot exist — a GPU does not learn, an institution does not infer.

What must come first — and what it unlocks

Left to right is reading order, derived from the prerequisite_of edges. Nothing here is hand-ordered: the diagram is the graph.

nothing comes first — this is a starting pointLoss functionBackpropagation

Unlocks: Backpropagation

Where to read it

The chapter that introduces it, and any chapter that uses it again.

10Rolling Downhillact 2 · The Instruments

Where it comes from

paperLearning Representations by Back-Propagating ErrorsDavid Rumelhart, Geoffrey Hinton, Ronald Williams · 1986

Every connection

All 2 edges touching this node, grouped by relation family — the sections above are highlights from this list. Colours match the relation families inthe atlas.

Order · 1
must come beforeBackpropagationAlgorithm
Flow · 1
is optimised byGradient descentAlgorithm

This page is a projection of one node in src/data/concepts.ts. It has no prose file of its own — 230 declared edges produce all 236 of these pages. Edit an edge and both endpoints change.