Uses of Class
org.deeplearning4j.nn.conf.NeuralNetConfiguration

Packages that use NeuralNetConfiguration

Package	Description
org.deeplearning4j.nn.api
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.graph
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.convolutional
org.deeplearning4j.nn.conf.layers.misc
org.deeplearning4j.nn.conf.layers.objdetect
org.deeplearning4j.nn.conf.layers.recurrent
org.deeplearning4j.nn.conf.layers.samediff
org.deeplearning4j.nn.conf.layers.util
org.deeplearning4j.nn.conf.layers.variational
org.deeplearning4j.nn.conf.ocnn
org.deeplearning4j.nn.graph
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.nn.layers.convolution.upsampling
org.deeplearning4j.nn.layers.feedforward
org.deeplearning4j.nn.layers.feedforward.autoencoder
org.deeplearning4j.nn.layers.feedforward.dense
org.deeplearning4j.nn.layers.feedforward.elementwise
org.deeplearning4j.nn.layers.feedforward.embedding
org.deeplearning4j.nn.layers.mkldnn
org.deeplearning4j.nn.layers.normalization
org.deeplearning4j.nn.layers.objdetect
org.deeplearning4j.nn.layers.ocnn
org.deeplearning4j.nn.layers.pooling
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.samediff
org.deeplearning4j.nn.layers.training
org.deeplearning4j.nn.layers.util
org.deeplearning4j.nn.layers.variational
org.deeplearning4j.nn.layers.wrapper
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.params
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.optimize
org.deeplearning4j.optimize.api
org.deeplearning4j.optimize.solvers
org.deeplearning4j.util

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.api

Methods in org.deeplearning4j.nn.api that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	Model.conf() The configuration for the neural network

Methods in org.deeplearning4j.nn.api with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Map<String,INDArray>	ParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView) Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.
Map<String,INDArray>	ParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams) Initialize the parameters
long	ParamInitializer.numParams(NeuralNetConfiguration conf)
void	Model.setConf(NeuralNetConfiguration conf) Setter for the configuration

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf

Fields in org.deeplearning4j.nn.conf declared as NeuralNetConfiguration

Modifier and Type	Field and Description
protected NeuralNetConfiguration	ComputationGraphConfiguration.defaultConfiguration

Fields in org.deeplearning4j.nn.conf with type parameters of type NeuralNetConfiguration

Modifier and Type	Field and Description
protected List<NeuralNetConfiguration>	MultiLayerConfiguration.confs
protected List<NeuralNetConfiguration>	MultiLayerConfiguration.Builder.confs

Methods in org.deeplearning4j.nn.conf that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	NeuralNetConfiguration.Builder.build() Return a configuration based on this builder
NeuralNetConfiguration	NeuralNetConfiguration.clone() Creates and returns a deep copy of the configuration.
static NeuralNetConfiguration	NeuralNetConfiguration.fromJson(String json) Create a neural net configuration from json
static NeuralNetConfiguration	NeuralNetConfiguration.fromYaml(String json) Create a neural net configuration from json
NeuralNetConfiguration	MultiLayerConfiguration.getConf(int i)

Method parameters in org.deeplearning4j.nn.conf with type arguments of type NeuralNetConfiguration

Modifier and Type	Method and Description
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.confs(List<NeuralNetConfiguration> confs)

Constructors in org.deeplearning4j.nn.conf with parameters of type NeuralNetConfiguration

Constructor and Description
Builder(NeuralNetConfiguration newConf)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.graph

Constructors in org.deeplearning4j.nn.conf.graph with parameters of type NeuralNetConfiguration

Constructor and Description
LayerVertex(NeuralNetConfiguration layerConf, InputPreProcessor preProcessor)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers

Methods in org.deeplearning4j.nn.conf.layers with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Layer	ActivationLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	AutoEncoder.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	BatchNormalization.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	CenterLossOutputLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Cnn3DLossLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	CnnLossLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Convolution1DLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Convolution3D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> iterationListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	ConvolutionLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Deconvolution2D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Deconvolution3D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	DenseLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	DepthwiseConvolution2D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	DropoutLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	EmbeddingLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	EmbeddingSequenceLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	GlobalPoolingLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	GravesBidirectionalLSTM.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType) Deprecated.
Layer	GravesLSTM.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType) Deprecated.
abstract Layer	Layer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	LocalResponseNormalization.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	LossLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	LSTM.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	OutputLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	PReLULayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	RnnLossLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	RnnOutputLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	SeparableConvolution2D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	SpaceToBatchLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	SpaceToDepthLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Subsampling1DLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Subsampling3DLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> iterationListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	SubsamplingLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Upsampling1D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Upsampling2D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Upsampling3D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> iterationListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	ZeroPadding1DLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	ZeroPadding3DLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> iterationListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	ZeroPaddingLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers.convolutional

Methods in org.deeplearning4j.nn.conf.layers.convolutional with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Layer	Cropping1D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Cropping2D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	Cropping3D.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> iterationListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers.misc

Methods in org.deeplearning4j.nn.conf.layers.misc that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	FrozenLayer.getInnerConf(NeuralNetConfiguration conf)
NeuralNetConfiguration	FrozenLayerWithBackprop.getInnerConf(NeuralNetConfiguration conf)

Methods in org.deeplearning4j.nn.conf.layers.misc with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	FrozenLayer.getInnerConf(NeuralNetConfiguration conf)
NeuralNetConfiguration	FrozenLayerWithBackprop.getInnerConf(NeuralNetConfiguration conf)
Layer	ElementWiseMultiplicationLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	FrozenLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	FrozenLayerWithBackprop.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	RepeatVector.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers.objdetect

Methods in org.deeplearning4j.nn.conf.layers.objdetect with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Layer	Yolo2OutputLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers.recurrent

Methods in org.deeplearning4j.nn.conf.layers.recurrent with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Layer	Bidirectional.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	LastTimeStep.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	SimpleRnn.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	TimeDistributed.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers.samediff

Methods in org.deeplearning4j.nn.conf.layers.samediff with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
abstract Layer	AbstractSameDiffLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	SameDiffLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	SameDiffOutputLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers.util

Methods in org.deeplearning4j.nn.conf.layers.util with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Layer	MaskLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
Layer	MaskZeroLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.layers.variational

Methods in org.deeplearning4j.nn.conf.layers.variational with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Layer	VariationalAutoencoder.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.conf.ocnn

Methods in org.deeplearning4j.nn.conf.ocnn with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Layer	OCNNOutputLayer.instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.graph

Methods in org.deeplearning4j.nn.graph that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	ComputationGraph.conf()

Methods in org.deeplearning4j.nn.graph with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
void	ComputationGraph.setConf(NeuralNetConfiguration conf)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers

Fields in org.deeplearning4j.nn.layers declared as NeuralNetConfiguration

Modifier and Type	Field and Description
protected NeuralNetConfiguration	AbstractLayer.conf

Methods in org.deeplearning4j.nn.layers that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	AbstractLayer.conf()

Methods in org.deeplearning4j.nn.layers with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
void	AbstractLayer.setConf(NeuralNetConfiguration conf)

Constructors in org.deeplearning4j.nn.layers with parameters of type NeuralNetConfiguration

Constructor and Description
AbstractLayer(NeuralNetConfiguration conf, DataType dataType)
ActivationLayer(NeuralNetConfiguration conf, DataType dataType)
BaseLayer(NeuralNetConfiguration conf, DataType dataType)
BaseOutputLayer(NeuralNetConfiguration conf, DataType dataType)
BasePretrainNetwork(NeuralNetConfiguration conf, DataType dataType)
DropoutLayer(NeuralNetConfiguration conf, DataType dataType)
LossLayer(NeuralNetConfiguration conf, DataType dataType)
OutputLayer(NeuralNetConfiguration conf, DataType dataType)
RepeatVector(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.convolution

Constructors in org.deeplearning4j.nn.layers.convolution with parameters of type NeuralNetConfiguration

Constructor and Description
Cnn3DLossLayer(NeuralNetConfiguration conf, DataType dataType)
CnnLossLayer(NeuralNetConfiguration conf, DataType dataType)
Convolution1DLayer(NeuralNetConfiguration conf, DataType dataType)
Convolution3DLayer(NeuralNetConfiguration conf, DataType dataType)
ConvolutionLayer(NeuralNetConfiguration conf, DataType dataType)
Cropping1DLayer(NeuralNetConfiguration conf, DataType dataType)
Cropping2DLayer(NeuralNetConfiguration conf, DataType dataType)
Cropping3DLayer(NeuralNetConfiguration conf, DataType dataType)
Deconvolution2DLayer(NeuralNetConfiguration conf, DataType dataType)
Deconvolution3DLayer(NeuralNetConfiguration conf, DataType dataType)
DepthwiseConvolution2DLayer(NeuralNetConfiguration conf, DataType dataType)
SeparableConvolution2DLayer(NeuralNetConfiguration conf, DataType dataType)
SpaceToBatch(NeuralNetConfiguration conf, DataType dataType)
SpaceToDepth(NeuralNetConfiguration conf, DataType dataType)
ZeroPadding1DLayer(NeuralNetConfiguration conf, DataType dataType)
ZeroPadding3DLayer(NeuralNetConfiguration conf, DataType dataType)
ZeroPaddingLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.convolution.subsampling

Constructors in org.deeplearning4j.nn.layers.convolution.subsampling with parameters of type NeuralNetConfiguration

Constructor and Description
Subsampling1DLayer(NeuralNetConfiguration conf, DataType dataType)
Subsampling3DLayer(NeuralNetConfiguration conf, DataType dataType)
SubsamplingLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.convolution.upsampling

Constructors in org.deeplearning4j.nn.layers.convolution.upsampling with parameters of type NeuralNetConfiguration

Constructor and Description
Upsampling1D(NeuralNetConfiguration conf, DataType dataType)
Upsampling2D(NeuralNetConfiguration conf, DataType dataType)
Upsampling3D(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.feedforward

Constructors in org.deeplearning4j.nn.layers.feedforward with parameters of type NeuralNetConfiguration

Constructor and Description
PReLU(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.feedforward.autoencoder

Constructors in org.deeplearning4j.nn.layers.feedforward.autoencoder with parameters of type NeuralNetConfiguration

Constructor and Description
AutoEncoder(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.feedforward.dense

Constructors in org.deeplearning4j.nn.layers.feedforward.dense with parameters of type NeuralNetConfiguration

Constructor and Description
DenseLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.feedforward.elementwise

Constructors in org.deeplearning4j.nn.layers.feedforward.elementwise with parameters of type NeuralNetConfiguration

Constructor and Description
ElementWiseMultiplicationLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.feedforward.embedding

Constructors in org.deeplearning4j.nn.layers.feedforward.embedding with parameters of type NeuralNetConfiguration

Constructor and Description
EmbeddingLayer(NeuralNetConfiguration conf, DataType dataType)
EmbeddingSequenceLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.mkldnn

Methods in org.deeplearning4j.nn.layers.mkldnn with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
FwdPassReturn	MKLDNNLSTMHelper.activate(Layer layer, NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray inputWeights, INDArray biases, boolean training, INDArray prevOutputActivations, INDArray prevMemCellState, boolean forBackprop, boolean forwards, String inputWeightKey, INDArray maskArray, boolean hasPeepholeConnections, LayerWorkspaceMgr workspaceMgr)
Pair<Gradient,INDArray>	MKLDNNLSTMHelper.backpropGradient(NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray inputWeights, INDArray epsilon, boolean truncatedBPTT, int tbpttBackwardLength, FwdPassReturn fwdPass, boolean forwards, String inputWeightKey, String recurrentWeightKey, String biasWeightKey, Map<String,INDArray> gradientViews, INDArray maskArray, boolean hasPeepholeConnections, LayerWorkspaceMgr workspaceMgr)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.normalization

Constructors in org.deeplearning4j.nn.layers.normalization with parameters of type NeuralNetConfiguration

Constructor and Description
BatchNormalization(NeuralNetConfiguration conf, DataType dataType)
LocalResponseNormalization(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.objdetect

Constructors in org.deeplearning4j.nn.layers.objdetect with parameters of type NeuralNetConfiguration

Constructor and Description
Yolo2OutputLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.ocnn

Methods in org.deeplearning4j.nn.layers.ocnn with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
protected INDArray	OCNNParamInitializer.createWeightMatrix(NeuralNetConfiguration configuration, INDArray weightParamView, boolean initializeParameters)
Map<String,INDArray>	OCNNParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	OCNNParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
long	OCNNParamInitializer.numParams(NeuralNetConfiguration conf)

Constructors in org.deeplearning4j.nn.layers.ocnn with parameters of type NeuralNetConfiguration

Constructor and Description
OCNNOutputLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.pooling

Constructors in org.deeplearning4j.nn.layers.pooling with parameters of type NeuralNetConfiguration

Constructor and Description
GlobalPoolingLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.recurrent

Methods in org.deeplearning4j.nn.layers.recurrent that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	BidirectionalLayer.conf()

Methods in org.deeplearning4j.nn.layers.recurrent with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
FwdPassReturn	LSTMHelper.activate(Layer layer, NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray inputWeights, INDArray biases, boolean training, INDArray prevOutputActivations, INDArray prevMemCellState, boolean forBackprop, boolean forwards, String inputWeightKey, INDArray maskArray, boolean hasPeepholeConnections, LayerWorkspaceMgr workspaceMgr)
static FwdPassReturn	LSTMHelpers.activateHelper(BaseRecurrentLayer layer, NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray originalInputWeights, INDArray biases, boolean training, INDArray originalPrevOutputActivations, INDArray originalPrevMemCellState, boolean forBackprop, boolean forwards, String inputWeightKey, INDArray maskArray, boolean hasPeepholeConnections, LSTMHelper helper, CacheMode cacheMode, LayerWorkspaceMgr workspaceMgr, boolean isHelperAllowFallback) Returns FwdPassReturn object with activations/INDArrays.
Pair<Gradient,INDArray>	LSTMHelper.backpropGradient(NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray inputWeights, INDArray epsilon, boolean truncatedBPTT, int tbpttBackwardLength, FwdPassReturn fwdPass, boolean forwards, String inputWeightKey, String recurrentWeightKey, String biasWeightKey, Map<String,INDArray> gradientViews, INDArray maskArray, boolean hasPeepholeConnections, LayerWorkspaceMgr workspaceMgr)
static Pair<Gradient,INDArray>	LSTMHelpers.backpropGradientHelper(BaseRecurrentLayer layer, NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray inputWeights, INDArray epsilon, boolean truncatedBPTT, int tbpttBackwardLength, FwdPassReturn fwdPass, boolean forwards, String inputWeightKey, String recurrentWeightKey, String biasWeightKey, Map<String,INDArray> gradientViews, INDArray maskArray, boolean hasPeepholeConnections, LSTMHelper helper, LayerWorkspaceMgr workspaceMgr, boolean isHelperAllowFallback)
void	BidirectionalLayer.setConf(NeuralNetConfiguration conf)

Constructors in org.deeplearning4j.nn.layers.recurrent with parameters of type NeuralNetConfiguration

Constructor and Description
BaseRecurrentLayer(NeuralNetConfiguration conf, DataType dataType)
BidirectionalLayer(@NonNull NeuralNetConfiguration conf, @NonNull Layer fwd, @NonNull Layer bwd, @NonNull INDArray paramsView)
GravesBidirectionalLSTM(NeuralNetConfiguration conf, DataType dataType)
GravesLSTM(NeuralNetConfiguration conf, DataType dataType) Deprecated.
LSTM(NeuralNetConfiguration conf, DataType dataType)
RnnLossLayer(NeuralNetConfiguration conf, DataType dataType)
RnnOutputLayer(NeuralNetConfiguration conf, DataType dataType)
SimpleRnn(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.samediff

Constructors in org.deeplearning4j.nn.layers.samediff with parameters of type NeuralNetConfiguration

Constructor and Description
SameDiffLayer(NeuralNetConfiguration conf, DataType dataType)
SameDiffOutputLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.training

Constructors in org.deeplearning4j.nn.layers.training with parameters of type NeuralNetConfiguration

Constructor and Description
CenterLossOutputLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.util

Constructors in org.deeplearning4j.nn.layers.util with parameters of type NeuralNetConfiguration

Constructor and Description
MaskLayer(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.variational

Fields in org.deeplearning4j.nn.layers.variational declared as NeuralNetConfiguration

Modifier and Type	Field and Description
protected NeuralNetConfiguration	VariationalAutoencoder.conf

Methods in org.deeplearning4j.nn.layers.variational that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	VariationalAutoencoder.conf()

Methods in org.deeplearning4j.nn.layers.variational with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
void	VariationalAutoencoder.setConf(NeuralNetConfiguration conf)

Constructors in org.deeplearning4j.nn.layers.variational with parameters of type NeuralNetConfiguration

Constructor and Description
VariationalAutoencoder(NeuralNetConfiguration conf, DataType dataType)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.layers.wrapper

Methods in org.deeplearning4j.nn.layers.wrapper that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	BaseWrapperLayer.conf()

Methods in org.deeplearning4j.nn.layers.wrapper with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
void	BaseWrapperLayer.setConf(NeuralNetConfiguration conf)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.multilayer

Fields in org.deeplearning4j.nn.multilayer declared as NeuralNetConfiguration

Modifier and Type	Field and Description
protected NeuralNetConfiguration	MultiLayerNetwork.defaultConfiguration

Methods in org.deeplearning4j.nn.multilayer that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	MultiLayerNetwork.conf()
NeuralNetConfiguration	MultiLayerNetwork.getDefaultConfiguration() Intended for internal/developer use

Methods in org.deeplearning4j.nn.multilayer with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
void	MultiLayerNetwork.setConf(NeuralNetConfiguration conf)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.params

Methods in org.deeplearning4j.nn.params with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
protected INDArray	ConvolutionParamInitializer.createBias(NeuralNetConfiguration conf, INDArray biasView, boolean initializeParams)
protected INDArray	DefaultParamInitializer.createBias(NeuralNetConfiguration conf, INDArray biasParamView, boolean initializeParameters)
protected INDArray	DepthwiseConvolutionParamInitializer.createBias(NeuralNetConfiguration conf, INDArray biasView, boolean initializeParams)
protected INDArray	SeparableConvolutionParamInitializer.createBias(NeuralNetConfiguration conf, INDArray biasView, boolean initializeParams)
protected INDArray	CenterLossParamInitializer.createCenterLossMatrix(NeuralNetConfiguration conf, INDArray centerLossView, boolean initializeParameters)
protected INDArray	DepthwiseConvolutionParamInitializer.createDepthWiseWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
protected INDArray	SeparableConvolutionParamInitializer.createDepthWiseWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
protected INDArray	DefaultParamInitializer.createGain(NeuralNetConfiguration conf, INDArray gainParamView, boolean initializeParameters)
protected INDArray	SeparableConvolutionParamInitializer.createPointWiseWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
protected INDArray	PretrainParamInitializer.createVisibleBias(NeuralNetConfiguration conf, INDArray visibleBiasView, boolean initializeParameters)
protected INDArray	Convolution3DParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
protected INDArray	ConvolutionParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
protected INDArray	Deconvolution3DParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
protected INDArray	DeconvolutionParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, INDArray weightView, boolean initializeParams)
protected INDArray	DefaultParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, INDArray weightParamView, boolean initializeParameters)
protected INDArray	PReLUParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, INDArray weightParamView, boolean initializeParameters)
Map<String,INDArray>	BatchNormalizationParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	BidirectionalParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	CenterLossParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	Convolution3DParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	ConvolutionParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	Deconvolution3DParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	DeconvolutionParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	DefaultParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	DepthwiseConvolutionParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	ElementWiseParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView) Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.
Map<String,INDArray>	EmptyParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	FrozenLayerParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	FrozenLayerWithBackpropParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	GravesBidirectionalLSTMParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	GravesLSTMParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	LSTMParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	PReLUParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	PretrainParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	SameDiffParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	SeparableConvolutionParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	SimpleRnnParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	VariationalAutoencoderParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	WrapperLayerParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Map<String,INDArray>	BatchNormalizationParamInitializer.init(NeuralNetConfiguration conf, INDArray paramView, boolean initializeParams)
Map<String,INDArray>	BidirectionalParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	CenterLossParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	Convolution3DParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	ConvolutionParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	Deconvolution3DParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	DefaultParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	DepthwiseConvolutionParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	ElementWiseParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams) Initialize the parameters
Map<String,INDArray>	EmptyParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	FrozenLayerParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	FrozenLayerWithBackpropParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	GravesBidirectionalLSTMParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	GravesLSTMParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	LSTMParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	PReLUParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	PretrainParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	SameDiffParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	SeparableConvolutionParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	SimpleRnnParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	VariationalAutoencoderParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Map<String,INDArray>	WrapperLayerParamInitializer.init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
long	BatchNormalizationParamInitializer.numParams(NeuralNetConfiguration conf)
long	BidirectionalParamInitializer.numParams(NeuralNetConfiguration conf)
long	CenterLossParamInitializer.numParams(NeuralNetConfiguration conf)
long	Convolution3DParamInitializer.numParams(NeuralNetConfiguration conf)
long	ConvolutionParamInitializer.numParams(NeuralNetConfiguration conf)
long	Deconvolution3DParamInitializer.numParams(NeuralNetConfiguration conf)
long	DefaultParamInitializer.numParams(NeuralNetConfiguration conf)
long	DepthwiseConvolutionParamInitializer.numParams(NeuralNetConfiguration conf)
long	EmptyParamInitializer.numParams(NeuralNetConfiguration conf)
long	FrozenLayerParamInitializer.numParams(NeuralNetConfiguration conf)
long	FrozenLayerWithBackpropParamInitializer.numParams(NeuralNetConfiguration conf)
long	GravesBidirectionalLSTMParamInitializer.numParams(NeuralNetConfiguration conf)
long	GravesLSTMParamInitializer.numParams(NeuralNetConfiguration conf)
long	LSTMParamInitializer.numParams(NeuralNetConfiguration conf)
long	PReLUParamInitializer.numParams(NeuralNetConfiguration conf)
long	PretrainParamInitializer.numParams(NeuralNetConfiguration conf)
long	SameDiffParamInitializer.numParams(NeuralNetConfiguration conf)
long	SeparableConvolutionParamInitializer.numParams(NeuralNetConfiguration conf)
long	SimpleRnnParamInitializer.numParams(NeuralNetConfiguration conf)
long	VariationalAutoencoderParamInitializer.numParams(NeuralNetConfiguration conf)
long	WrapperLayerParamInitializer.numParams(NeuralNetConfiguration conf)

Uses of NeuralNetConfiguration in org.deeplearning4j.nn.transferlearning

Methods in org.deeplearning4j.nn.transferlearning that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	FineTuneConfiguration.appliedNeuralNetConfiguration(NeuralNetConfiguration nnc)

Methods in org.deeplearning4j.nn.transferlearning with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	FineTuneConfiguration.appliedNeuralNetConfiguration(NeuralNetConfiguration nnc)
void	FineTuneConfiguration.applyToNeuralNetConfiguration(NeuralNetConfiguration nnc)

Uses of NeuralNetConfiguration in org.deeplearning4j.optimize

Methods in org.deeplearning4j.optimize with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
Solver.Builder	Solver.Builder.configure(NeuralNetConfiguration conf)

Uses of NeuralNetConfiguration in org.deeplearning4j.optimize.api

Methods in org.deeplearning4j.optimize.api that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	ConvexOptimizer.getConf()

Uses of NeuralNetConfiguration in org.deeplearning4j.optimize.solvers

Fields in org.deeplearning4j.optimize.solvers declared as NeuralNetConfiguration

Modifier and Type	Field and Description
protected NeuralNetConfiguration	BaseOptimizer.conf

Methods in org.deeplearning4j.optimize.solvers that return NeuralNetConfiguration

Modifier and Type	Method and Description
NeuralNetConfiguration	BaseOptimizer.getConf()

Constructors in org.deeplearning4j.optimize.solvers with parameters of type NeuralNetConfiguration

Constructor and Description
BaseOptimizer(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<TrainingListener> trainingListeners, Model model)
ConjugateGradient(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<TrainingListener> trainingListeners, Model model)
LBFGS(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<TrainingListener> trainingListeners, Model model)
LineGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<TrainingListener> trainingListeners, Model model)
StochasticGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<TrainingListener> trainingListeners, Model model)

Uses of NeuralNetConfiguration in org.deeplearning4j.util

Methods in org.deeplearning4j.util with parameters of type NeuralNetConfiguration

Modifier and Type	Method and Description
static int[]	ConvolutionUtils.getHeightAndWidth(NeuralNetConfiguration conf) Get the height and width from the configuration
static long	ConvolutionUtils.numFeatureMap(NeuralNetConfiguration conf)