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AdditiveNoiseStep

Chainable step that adds Gaussian noise to the gradients.

This can improve convergence and mitigate overfitting in some deep networks. Version 0.2.0

Ports/Properties

gradients

Gradients to be transformed.

  • verbose name: Gradients
  • default value: None
  • port type: DataPort
  • value type: object (can be None)
  • data direction: INOUT

weights

Optional current weights.

  • verbose name: Weights
  • default value: None
  • port type: DataPort
  • value type: object (can be None)
  • data direction: IN

state

Explicit state of the node.

  • verbose name: State
  • default value: None
  • port type: DataPort
  • value type: object (can be None)
  • data direction: INOUT

eta

Initial variance for the Gaussian noise added to gradients.

  • verbose name: Eta
  • default value: 0.01
  • port type: FloatPort
  • value type: float (can be None)

gamma

A parameter controlling the annealing of noise over time, the variance decays according to (1+t)^-gamma.

  • verbose name: Gamma
  • default value: 0.55
  • port type: FloatPort
  • value type: float (can be None)

seed

A seed for the pseudo-random number generation.

  • verbose name: Seed
  • default value: 12345
  • port type: IntPort
  • value type: int (can be None)

set_breakpoint

Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.

  • verbose name: Set Breakpoint (Debug Only)
  • default value: False
  • port type: BoolPort
  • value type: bool (can be None)

metadata

User-definable meta-data associated with the node. Usually reserved for technical purposes.

  • verbose name: Metadata
  • default value: {}
  • port type: DictPort
  • value type: dict (can be None)