The Emergence Machine

Backpropagation

process · Computing · Level 11 · E10

E10Institutions

Each concept here is mapped to its prerequisites — the ideas you'd need first to understand it — all the way down to four foundations: Space, Time, Energy, Pattern. Click any prerequisite to drill down, or scroll for the chain graph.

Trace. Question. Emerge.

Emergence definition

backpropagation requires neural-network, computation.

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Wiktionary senses

External reference — all senses of the word “backpropagation” on Wiktionary. This atlas concept maps to only the slice of meaning relevant to the prerequisite graph.

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Source: Wiktionary — “backpropagation”. Content available under CC BY-SA 4.0.

Historical origin

Origin word
backpropagation
Origin language
English

Prerequisite chain

Possible path of this concept down to the fundamental substrate.

thisfoundationsL11L10L9L8L5L2L1L0BackpropagationGradientArtNeural NetworkSkillAlgorithmPerception… intermediate l…FormLifeProcessStructureActionChangeMatterProcedureEnergyPatternSpaceTimeE1 concrete → E14 abstract

Neighborhood

Direct prerequisites above, concepts that depend on this one below.

thisprerequisitesBackpropagationL11AlgorithmL5Neural NetworkL8GradientL10E1 concrete → E14 abstract

In other languages

Prerequisites

What you need to understand first.

  • Algorithm L5 (requires)
    Backpropagation: An algorithm that computes gradients of a neural network's output with respect to its parameters, propagating error signals backward through the network to adjust weights and biases for optimal performance.
  • Neural Network L8 (requires)
    Backpropagation is an algorithm for training neural networks by computing gradients and propagating errors backward through layers.
  • Gradient L10 (requires)
    Backpropagation: An algorithm that computes gradients of a neural network's output with respect to its parameters, propagating error signals backward through the network to adjust weights and biases for optimal performance.