org.deeplearning4j.nn.params

Class EmptyParamInitializer

java.lang.Object

org.deeplearning4j.nn.params.EmptyParamInitializer

All Implemented Interfaces:

ParamInitializer

public class EmptyParamInitializer
extends java.lang.Object
implements ParamInitializer

Constructor Summary

Constructors

Constructor and Description
EmptyParamInitializer()

Method Summary

Modifier and Type	Method and Description
java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray>	getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView) Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.
static EmptyParamInitializer	getInstance()
java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray>	init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams) Initialize the parameters
int	numParams(NeuralNetConfiguration conf)

Methods inherited from class java.lang.Object

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

Constructor Detail

EmptyParamInitializer

public EmptyParamInitializer()

Method Detail

getInstance

public static EmptyParamInitializer getInstance()

numParams

public int numParams(NeuralNetConfiguration conf)

Specified by:

numParams in interface ParamInitializer

init

public java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray> init(NeuralNetConfiguration conf,
                                                                                 org.nd4j.linalg.api.ndarray.INDArray paramsView,
                                                                                 boolean initializeParams)

Description copied from interface: ParamInitializer

Initialize the parameters

Specified by:

init in interface ParamInitializer

Parameters:

conf - the configuration

paramsView - a view of the full network (backprop) parameters

initializeParams - if true: initialize the parameters according to the configuration. If false: don't modify the values in the paramsView array (but do select out the appropriate subset, reshape etc as required)

Returns:

Map of parameters keyed by type (view of the 'paramsView' array)

getGradientsFromFlattened

public java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray> getGradientsFromFlattened(NeuralNetConfiguration conf,
                                                                                                      org.nd4j.linalg.api.ndarray.INDArray gradientView)

Description copied from interface: ParamInitializer

Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array. The idea is that operates in exactly the same way as the the paramsView does in #init(Map, NeuralNetConfiguration, INDArray); thus the position in the view (and, the array orders) must match those of the parameters

Specified by:

getGradientsFromFlattened in interface ParamInitializer

Parameters:

conf - Configuration

gradientView - The flattened gradients array, as a view of the larger array

Returns:

A map containing an array by parameter type, that is a view of the full network gradients array