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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)