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Neural Network

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Neural Network has 3 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

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

Consists of Layersin disputeconsistsOfLayers

  • Fc1[1]sourceall time · B2084fb4 C6e7 4f68 A30b 1fed653d4d63
  • Fc2[1]sourceall time · B2084fb4 C6e7 4f68 A30b 1fed653d4d63

Has Activation FunctionhasActivationFunction

  • Relu[1]sourceall time · B2084fb4 C6e7 4f68 A30b 1fed653d4d63

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

3 undated
—
consistsOfLayersbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:fc1
—
consistsOfLayersbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:fc2
—
hasActivationFunctionbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:relu

References (1)

1 references
  1. [1]beam-chunk3 facts
    customctx:claims/beam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
      Show excerpt
      # Define the resizing module class ResizingModule(nn.Module): def __init__(self): super(ResizingModule, self).__init__() self.fc1 = nn.Linear(512, 128) self.fc2 = nn.Linear(128, 128) def forward(self, x): …

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