The Emergence Machine

Hyperparameter

abstract · Computing · Level 9 · E9

E9Cultures

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

A tunable parameter that is set before training and affects the model's performance and output, in the context of a machine that transforms energy into work by leveraging the structured coded information that emerges from the transformations of state or condition.

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Wiktionary senses

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

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

Historical origin

Origin word
hyperparameter
Origin language
English

Prerequisite chain

Possible path of this concept down to the fundamental substrate.

thisfoundationsL9L8L7L6L5L2L1L0HyperparameterModelLearningMachine LearningArtificial Intel…ExperienceMemoryAlgorithmMachinePerception… intermediate l…ForceFormInformationLifeActionChangeMatterMotionEnergyPatternSpaceTimeE1 concrete → E14 abstract

Neighborhood

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

thisprerequisitesHyperparameterL9MachineL5LearningL7ModelL8E1 concrete → E14 abstract

In other languages

Prerequisites

What you need to understand first.

  • Machine L5 (requires)
    A hyperparameter is a pre-training configuration setting in a machine learning model that influences the learning process and model behavior.
  • Learning L7 (requires)
    A hyperparameter is a pre-training configuration setting in a machine learning model that influences the learning process and model behavior.
  • Model L8 (requires) Technology sense
    A hyperparameter is a configuration setting in machine learning models that is set before training, controlling the learning process and model behavior.