Dontopedia

Code Correctness Rationale

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Code Correctness Rationale has 2 facts recorded in Dontopedia across 1 reference.

2 facts·2 predicates·1 sources
Maturity scale raw canonical shape-checked rule-derived certified

Other facts (2)

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2 facts
PredicateValueRef
Justifies Presence ofModel Drop Call[1]
Applies WhenTraining With Nonzero Dropout[1]

Timeline

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2 undated
—
justifiesPresenceOfblah/watt-activation/160
ex:model-drop-call
—
appliesWhenblah/watt-activation/160
ex:training-with-nonzero-dropout

References (1)

1 references
  1. [1]1602 facts
    ctx:discord/blah/watt-activation/160
    • full textwatt-activation-160
      text/plain2 KBdoc:agent/watt-activation-160/83f1326e-5f35-47f2-901e-bb1cc61a1eae
      Show excerpt
      [2026-03-09 16:37] xenonfun: ⏺ With dropout=0.0, the dropout layers are no-ops — they pass through unchanged during both training and inference. So model.train(False) vs model.train(True) makes no difference for our current config. It …

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