AI Foundationspredict · compress · act

concepts → Quantity

Quantity

Feature map

timeless1 connectiondraft

the grid of activations a filter produces as it slides across an image

Where it sits

The prism has six jobs across and eight layers down. Its primary cell isrepresent × L1. 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 pointFeature mapnothing depends on it yet — a leaf in the reading order

What kind of thing it is — and what it is made of

It is part of: Convolutional neural network.

Where to read it

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

20Seeing with Windowsact 5 · The Connectionist Turn

Where it comes from

paperGradient-Based Learning Applied to Document RecognitionYann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner · 1998

Every connection

All 1 edges touching this node, grouped by relation family — the sections above are highlights from this list. Colours match the relation families inthe atlas.

Structure · 1
is part ofConvolutional neural networkArchitecture

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.