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Dropout

Apply dropout regularization to the data.

This will randomly drop out a given element with probability given by the dropout rate. As a result, the downstream nodes will see a different input each time, and the network will be forced to learn robust representations that are not overly dependent on any one element. More Info... Version 0.2.1

Ports/Properties

data

Data to process.

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

random

Random number key to use.

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

is_training

Whether the node is used in training mode.

  • verbose name: Is Training
  • default value: None
  • port type: DataPort
  • value type: bool (can be None)
  • data direction: IN

rate

Dropout rate. The probability of dropping out a given element.

  • verbose name: Dropout Rate
  • default value: 0.5
  • port type: FloatPort
  • value type: float (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)