Package org.deeplearning4j.nn.params
Class Deconvolution3DParamInitializer
- java.lang.Object
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- org.deeplearning4j.nn.params.ConvolutionParamInitializer
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- org.deeplearning4j.nn.params.Deconvolution3DParamInitializer
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- All Implemented Interfaces:
ParamInitializer
public class Deconvolution3DParamInitializer extends ConvolutionParamInitializer
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Field Summary
Fields Modifier and Type Field Description static String
BIAS_KEY
static String
WEIGHT_KEY
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Constructor Summary
Constructors Constructor Description Deconvolution3DParamInitializer()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description protected INDArray
createWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
Map<String,INDArray>
getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.static Deconvolution3DParamInitializer
getInstance()
Map<String,INDArray>
init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Initialize the parameterslong
numParams(Layer l)
long
numParams(NeuralNetConfiguration conf)
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Methods inherited from class org.deeplearning4j.nn.params.ConvolutionParamInitializer
biasKeys, createBias, isBiasParam, isWeightParam, paramKeys, weightKeys
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Field Detail
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WEIGHT_KEY
public static final String WEIGHT_KEY
- See Also:
- Constant Field Values
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BIAS_KEY
public static final String BIAS_KEY
- See Also:
- Constant Field Values
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Method Detail
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getInstance
public static Deconvolution3DParamInitializer getInstance()
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numParams
public long numParams(NeuralNetConfiguration conf)
- Specified by:
numParams
in interfaceParamInitializer
- Overrides:
numParams
in classConvolutionParamInitializer
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numParams
public long numParams(Layer l)
- Specified by:
numParams
in interfaceParamInitializer
- Overrides:
numParams
in classConvolutionParamInitializer
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init
public Map<String,INDArray> init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Description copied from interface:ParamInitializer
Initialize the parameters- Specified by:
init
in interfaceParamInitializer
- Overrides:
init
in classConvolutionParamInitializer
- Parameters:
conf
- the configurationparamsView
- a view of the full network (backprop) parametersinitializeParams
- 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)
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getGradientsFromFlattened
public Map<String,INDArray> getGradientsFromFlattened(NeuralNetConfiguration conf, 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 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 interfaceParamInitializer
- Overrides:
getGradientsFromFlattened
in classConvolutionParamInitializer
- Parameters:
conf
- ConfigurationgradientView
- 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
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createWeightMatrix
protected INDArray createWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
- Overrides:
createWeightMatrix
in classConvolutionParamInitializer
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