Dontopedia

Optim Sgd

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Optim Sgd has 6 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

6 facts·5 predicates·1 sources·1 in dispute

Mostly:rdf:type(2), has parameter(1), parameter value(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (3)

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initializedWithInitialized With(2)

usesUses(1)

Other facts (6)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

6 facts
PredicateValueRef
Rdf:typeFunction[1]
Rdf:typeStochastic Gradient Descent Optimizer[1]
Has Parameterlr[1]
Parameter Value0.01[1]
Applied tomodel.parameters()[1]
Is Type ofoptimizer[1]

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.

typebeam/98aa08f4-6776-4759-9a34-fc5897ebea4d
ex:Function
hasParameterbeam/98aa08f4-6776-4759-9a34-fc5897ebea4d
lr
parameterValuebeam/98aa08f4-6776-4759-9a34-fc5897ebea4d
0.01
appliedTobeam/98aa08f4-6776-4759-9a34-fc5897ebea4d
model.parameters()
typebeam/98aa08f4-6776-4759-9a34-fc5897ebea4d
ex:StochasticGradientDescentOptimizer
isTypeOfbeam/98aa08f4-6776-4759-9a34-fc5897ebea4d
optimizer

References (1)

1 references
  1. ctx:claims/beam/98aa08f4-6776-4759-9a34-fc5897ebea4d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/98aa08f4-6776-4759-9a34-fc5897ebea4d
      Show excerpt
      data_loader = DataLoader(dataset, batch_size=64, shuffle=True, num_workers=4) model = SecureTuningModel() criterion = nn.CrossEntropyLoss() optimizer = optim.SGD(model.parameters(), lr= 0.01) fine_tune_model(model, data_loader, optimizer,

See also

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