The Emergence Machine

Gradient Descent

process · Computing · Level 6 · 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

An iterative optimization algorithm that adjusts model parameters to minimize a loss function by moving in the direction of the negative gradient, as it builds upon the self-contained sequence of operations that relies on logical reasoning and pattern recognition to produce a predictable outcome within a technological system, and the process of executing a series of operations, such as calculations, transformations, or data manipulation, according to a defined set of rules and procedures.

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Wiktionary senses

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

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

Historical origin

Origin word
gradient descent
Origin language
English

Prerequisite chain

Possible path of this concept down to the fundamental substrate.

thisfoundationsL6L5L4L3L2L1L0Gradient DescentAlgorithmComputationDataLogicCausalitySystemFormOperationStructureActionChangeMatterProcedureEnergyPatternSpaceTimeE1 concrete → E14 abstract

Neighborhood

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

thisprerequisitesGradient DescentL6AlgorithmL5ComputationL5E1 concrete → E14 abstract

In other languages

Prerequisites

What you need to understand first.

  • Algorithm L5 (requires)
    Gradient descent is an optimization algorithm that iteratively adjusts parameters in the direction of steepest descent to minimize a loss function.
  • Computation L5 (requires)
    Understanding gradient descent requires knowledge of computation as a foundational technical concept.