deepboof.impl.backward.standard

Class DFunctionDropOut_F64

java.lang.Object

deepboof.impl.forward.standard.BaseFunction<T>

deepboof.impl.backward.standard.BaseDFunction<deepboof.tensors.Tensor_F64>

deepboof.impl.backward.standard.DFunctionDropOut_F64

All Implemented Interfaces:

DFunctionDropOut<deepboof.tensors.Tensor_F64>, deepboof.DFunction<deepboof.tensors.Tensor_F64>, deepboof.Function<deepboof.tensors.Tensor_F64>

public class DFunctionDropOut_F64
extends BaseDFunction<deepboof.tensors.Tensor_F64>
implements DFunctionDropOut<deepboof.tensors.Tensor_F64>

Implementation of DFunctionDropOut for Tensor_F64

Field Summary

Fields inherited from class deepboof.impl.backward.standard.BaseDFunction

learningMode

Fields inherited from class deepboof.impl.forward.standard.BaseFunction

miniBatchSize, parameters, shapeInput, shapeOutput, shapeParameters

Constructor Summary

Constructors

Constructor and Description
DFunctionDropOut_F64(long randomSeed, double dropRate) Configures drop out

Method Summary

Modifier and Type	Method and Description
protected void	_backwards(deepboof.tensors.Tensor_F64 input, deepboof.tensors.Tensor_F64 dout, deepboof.tensors.Tensor_F64 gradientInput, java.util.List<deepboof.tensors.Tensor_F64> gradientParameters)
void	_forward(deepboof.tensors.Tensor_F64 input, deepboof.tensors.Tensor_F64 output)
void	_initialize()
void	_setParameters(java.util.List<deepboof.tensors.Tensor_F64> parameters)
double	getDropRate() Returns a number from 0 to 1 indicating the likelihood of a neuron being dropped.
java.lang.Class<deepboof.tensors.Tensor_F64>	getTensorType()

Methods inherited from class deepboof.impl.backward.standard.BaseDFunction

backwards, evaluating, isLearning, learning

Methods inherited from class deepboof.impl.forward.standard.BaseFunction

forward, getOutputShape, getParameters, getParameterShapes, initialize, setParameters

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface deepboof.DFunction

backwards, evaluating, isLearning, learning

Methods inherited from interface deepboof.Function

forward, getOutputShape, getParameters, getParameterShapes, initialize, setParameters

Constructor Detail

DFunctionDropOut_F64

public DFunctionDropOut_F64(long randomSeed,
                            double dropRate)

Configures drop out

Parameters:

randomSeed - random seed used to pick which neurons are dropped

dropRate - Fraction of time a neuron is dropped

Method Detail

_initialize

public void _initialize()

Specified by:

_initialize in class deepboof.impl.forward.standard.BaseFunction<deepboof.tensors.Tensor_F64>

_setParameters

public void _setParameters(java.util.List<deepboof.tensors.Tensor_F64> parameters)

Specified by:

_setParameters in class deepboof.impl.forward.standard.BaseFunction<deepboof.tensors.Tensor_F64>

_forward

public void _forward(deepboof.tensors.Tensor_F64 input,
                     deepboof.tensors.Tensor_F64 output)

Specified by:

_forward in class deepboof.impl.forward.standard.BaseFunction<deepboof.tensors.Tensor_F64>

getDropRate

public double getDropRate()

Description copied from interface: DFunctionDropOut

Returns a number from 0 to 1 indicating the likelihood of a neuron being dropped. 0 = 0% change and 1 = 100% chance

Specified by:

getDropRate in interface DFunctionDropOut<deepboof.tensors.Tensor_F64>

Returns:

drop rate

_backwards

protected void _backwards(deepboof.tensors.Tensor_F64 input,
                          deepboof.tensors.Tensor_F64 dout,
                          deepboof.tensors.Tensor_F64 gradientInput,
                          java.util.List<deepboof.tensors.Tensor_F64> gradientParameters)

Specified by:

_backwards in class BaseDFunction<deepboof.tensors.Tensor_F64>

getTensorType

public java.lang.Class<deepboof.tensors.Tensor_F64> getTensorType()

Specified by:

getTensorType in interface deepboof.Function<deepboof.tensors.Tensor_F64>