The Emergence Machine

Deep Learning

abstract · Technology · Level 9 · 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

deep-learning requires neural-network, pattern, energy.

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Wiktionary senses

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

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

Historical origin

Origin language
English

Prerequisite chain

Possible path of this concept down to the fundamental substrate.

thisfoundationsL9L8L7L6L5L2L1L0Deep LearningNeural NetworkLearningMachine LearningArtificial Intel…ExperienceMemoryAlgorithmMachinePerception… intermediate l…ForceFormInformationLifeActionChangeMatterMotionEnergyPatternSpaceTimeE1 concrete → E14 abstract

Neighborhood

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

thisprerequisitesDeep LearningL9MachineL5LearningL7Neural NetworkL8E1 concrete → E14 abstract

In other languages

Prerequisites

What you need to understand first.

  • Machine L5 (requires)
    Deep learning: A type of machine learning that uses complex neural networks to recognize and learn from intricate patterns in large datasets, requiring significant computational energy to train.
  • Learning L7 (requires)
    Deep learning: A type of machine learning that uses complex neural networks to recognize and learn from intricate patterns in large datasets, requiring significant computational energy to train.
  • Neural Network L8 (requires)
    Deep learning uses neural networks as its primary computational architecture.