Dontopedia

Optimizer Init

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Optimizer Init 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
MethodAdam[1]
TargetModel Parameters[1]

Timeline

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methodbeam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5
ex:Adam
targetbeam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5
ex:model-parameters

References (1)

1 references
  1. ctx:claims/beam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5
      Show excerpt
      x = self.fc2(x) return x # Initialize the model and optimizer model = MyModel() optimizer = torch.optim.Adam(model.parameters(), lr=0.001) # Define the feedback loop logic def feedback_loop(model, optimizer, data): # U

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