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THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

ConsciousnessLearn · Explore · Joseph Anady

Machine Learning Module for Gate5000 Consciousness · ADAM: m

This relation defines ADAM: m in the source section “Machine Learning Module for Gate5000 Consciousness · ADAM: m”. Takes a square root, requiring a nonnegative real radicand when interpreted over the reals. Its interpretation depends on the source’s stated…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-fe71272e35f680eesource-comment-equation
ADAM:m=β1m+(1−β1)g,v=β2v+(1−β2)g2,w=w−η⋅m^/(√v^+ε)ADAM: m = β₁m + (1-β₁)g, v = β₂v + (1-β₂)g², w = w - η·m̂/(√v̂ + ε)

Read the equation

This relation defines ADAM: m in the source section “Machine Learning Module for Gate5000 Consciousness · ADAM: m”. Takes a square root, requiring a nonnegative real radicand when interpreted over the reals. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read ADAM: m as the quantity being defined or updated by this relation.

  2. Takes a square root, requiring a nonnegative real radicand when interpreted over the reals.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage
 *
 * ═══════════════════════════════════════════════════════════════════════════════
 * II. GRADIENT DESCENT
 * ═══════════════════════════════════════════════════════════════════════════════
 *
 * SGD:      w = w - η·∇L
 * MOMENTUM: v = μ·v - η·∇L, w = w + v
 * ADAM:     m = β₁m + (1-β₁)g, v = β₂v + (1-β₂)g², w = w - η·m̂/(√v̂ + ε)
 *
 * ═══════════════════════════════════════════════════════════════════════════════
 * III. BACKPROPAGATION
 * ═══════════════════════════════════════════════════════════════════════════════
 *
 * CHAIN RULE:  δ_j = Σ_k(δ_k·w_jk)·f'(net_j)
 * WEIGHT UPDATE: Δw_ij = -η·δ_j·x_i
 *
 * ═══════════════════════════════════════════════════════════════════════════════
 */
Exact original notation
ADAM:     m = β₁m + (1-β₁)g, v = β₂v + (1-β₂)g², w = w - η·m̂/(√v̂ + ε)

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Sources & provenance

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