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.graph
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.nn.layers.feedforward.autoencoder
org.deeplearning4j.nn.layers.feedforward.dense
org.deeplearning4j.nn.layers.feedforward.embedding
org.deeplearning4j.nn.layers.feedforward.rbm
org.deeplearning4j.nn.layers.normalization
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.params
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,org.nd4j.linalg.api.ndarray.INDArray>	ParamInitializer.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.
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	ParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams) Initialize the parameters
int	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)

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	SubsamplingLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	OutputLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	LossLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	BatchNormalization.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	GravesLSTM.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	EmbeddingLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	ConvolutionLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	AutoEncoder.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
abstract Layer	Layer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	GravesBidirectionalLSTM.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	RBM.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	LocalResponseNormalization.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	RnnOutputLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	DenseLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
Layer	ActivationLayer.instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)

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	BaseLayer.conf

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

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

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

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

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

Constructor and Description
ActivationLayer(NeuralNetConfiguration conf)
ActivationLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
BaseLayer(NeuralNetConfiguration conf)
BaseLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
BaseOutputLayer(NeuralNetConfiguration conf)
BaseOutputLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
BasePretrainNetwork(NeuralNetConfiguration conf)
BasePretrainNetwork(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
LossLayer(NeuralNetConfiguration conf)
LossLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
OutputLayer(NeuralNetConfiguration conf)
OutputLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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

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

Constructor and Description
ConvolutionLayer(NeuralNetConfiguration conf)
ConvolutionLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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
SubsamplingLayer(NeuralNetConfiguration conf)
SubsamplingLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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)
AutoEncoder(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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)
DenseLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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)

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

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

Constructor and Description
RBM(NeuralNetConfiguration conf)
RBM(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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)
LocalResponseNormalization(NeuralNetConfiguration conf)
LocalResponseNormalization(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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

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

Modifier and Type	Method and Description
static FwdPassReturn	LSTMHelpers.activateHelper(Layer layer, NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray recurrentWeights, org.nd4j.linalg.api.ndarray.INDArray originalInputWeights, org.nd4j.linalg.api.ndarray.INDArray biases, boolean training, org.nd4j.linalg.api.ndarray.INDArray originalPrevOutputActivations, org.nd4j.linalg.api.ndarray.INDArray originalPrevMemCellState, boolean forBackprop, boolean forwards, String inputWeightKey) Returns FwdPassReturn object with activations/INDArrays.
static Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LSTMHelpers.backpropGradientHelper(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray recurrentWeights, org.nd4j.linalg.api.ndarray.INDArray inputWeights, org.nd4j.linalg.api.ndarray.INDArray epsilon, boolean truncatedBPTT, int tbpttBackwardLength, FwdPassReturn fwdPass, boolean forwards, String inputWeightKey, String recurrentWeightKey, String biasWeightKey, Map<String,org.nd4j.linalg.api.ndarray.INDArray> gradientViews)

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

Constructor and Description
BaseRecurrentLayer(NeuralNetConfiguration conf)
BaseRecurrentLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
GravesBidirectionalLSTM(NeuralNetConfiguration conf)
GravesBidirectionalLSTM(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
GravesLSTM(NeuralNetConfiguration conf)
GravesLSTM(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
RnnOutputLayer(NeuralNetConfiguration conf)
RnnOutputLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)

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()

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 org.nd4j.linalg.api.ndarray.INDArray	ConvolutionParamInitializer.createBias(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray biasView, boolean initializeParams)
protected org.nd4j.linalg.api.ndarray.INDArray	DefaultParamInitializer.createBias(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray biasParamView, boolean initializeParameters)
protected org.nd4j.linalg.api.ndarray.INDArray	PretrainParamInitializer.createVisibleBias(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray visibleBiasView, boolean initializeParameters)
protected org.nd4j.linalg.api.ndarray.INDArray	ConvolutionParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray weightView, boolean initializeParams)
protected org.nd4j.linalg.api.ndarray.INDArray	DefaultParamInitializer.createWeightMatrix(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray weightParamView, boolean initializeParameters)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	ConvolutionParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	BatchNormalizationParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	PretrainParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	EmptyParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	GravesBidirectionalLSTMParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	DefaultParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	GravesLSTMParamInitializer.getGradientsFromFlattened(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray gradientView)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	ConvolutionParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	BatchNormalizationParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramView, boolean initializeParams)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	PretrainParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	EmptyParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	GravesBidirectionalLSTMParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	DefaultParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
Map<String,org.nd4j.linalg.api.ndarray.INDArray>	GravesLSTMParamInitializer.init(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
int	ConvolutionParamInitializer.numParams(NeuralNetConfiguration conf)
int	BatchNormalizationParamInitializer.numParams(NeuralNetConfiguration conf)
int	PretrainParamInitializer.numParams(NeuralNetConfiguration conf)
int	EmptyParamInitializer.numParams(NeuralNetConfiguration conf)
int	GravesBidirectionalLSTMParamInitializer.numParams(NeuralNetConfiguration conf)
int	DefaultParamInitializer.numParams(NeuralNetConfiguration conf)
int	GravesLSTMParamInitializer.numParams(NeuralNetConfiguration conf)

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<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
BaseOptimizer(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
ConjugateGradient(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
ConjugateGradient(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
LBFGS(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
LBFGS(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
LineGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
LineGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
StochasticGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
StochasticGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, 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 int	ConvolutionUtils.numFeatureMap(NeuralNetConfiguration conf)