Uses of Interface
org.deeplearning4j.nn.gradient.Gradient

Packages that use Gradient

Package	Description
org.deeplearning4j.nn.api
org.deeplearning4j.nn.api.layers
org.deeplearning4j.nn.gradient
org.deeplearning4j.nn.graph
org.deeplearning4j.nn.graph.vertex
org.deeplearning4j.nn.graph.vertex.impl
org.deeplearning4j.nn.graph.vertex.impl.rnn
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.nn.layers.feedforward.embedding
org.deeplearning4j.nn.layers.feedforward.rbm
org.deeplearning4j.nn.layers.normalization
org.deeplearning4j.nn.layers.pooling
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.training
org.deeplearning4j.nn.layers.variational
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.updater
org.deeplearning4j.optimize.api
org.deeplearning4j.optimize.solvers

Uses of Gradient in org.deeplearning4j.nn.api

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

Modifier and Type	Method and Description
Gradient	Layer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray) Deprecated. As of 0.7.3 - Feb 2017. No longer used.
Gradient	Layer.error(org.nd4j.linalg.api.ndarray.INDArray input) Deprecated. As of 0.7.3 - Feb 2017. No longer used.
Gradient	Model.gradient() Calculate a gradient

Methods in org.deeplearning4j.nn.api that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	Layer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon) Calculate the gradient relative to the error in the next layer
org.nd4j.linalg.primitives.Pair<Gradient,Double>	Model.gradientAndScore() Get the gradient and score

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

Modifier and Type	Method and Description
Gradient	Layer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray) Deprecated. As of 0.7.3 - Feb 2017. No longer used.
void	Model.update(Gradient gradient) Update layer weights and biases with gradient change
void	Updater.update(Layer layer, Gradient gradient, int iteration, int miniBatchSize) Updater: updates the model

Uses of Gradient in org.deeplearning4j.nn.api.layers

Methods in org.deeplearning4j.nn.api.layers that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	RecurrentLayer.tbpttBackpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon, int tbpttBackLength) Truncated BPTT equivalent of Layer.backpropGradient().

Uses of Gradient in org.deeplearning4j.nn.gradient

Classes in org.deeplearning4j.nn.gradient that implement Gradient

Modifier and Type	Class and Description
class	DefaultGradient Default gradient implementation.

Uses of Gradient in org.deeplearning4j.nn.graph

Fields in org.deeplearning4j.nn.graph declared as Gradient

Modifier and Type	Field and Description
protected Gradient	ComputationGraph.gradient

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

Modifier and Type	Method and Description
Gradient	ComputationGraph.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray... epsilons) Calculate the gradient of the network with respect to some external errors.
Gradient	ComputationGraph.gradient()

Methods in org.deeplearning4j.nn.graph that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,Double>	ComputationGraph.gradientAndScore()

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

Modifier and Type	Method and Description
void	ComputationGraph.update(Gradient gradient)

Uses of Gradient in org.deeplearning4j.nn.graph.vertex

Methods in org.deeplearning4j.nn.graph.vertex that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	GraphVertex.doBackward(boolean tbptt) Do backward pass

Uses of Gradient in org.deeplearning4j.nn.graph.vertex.impl

Methods in org.deeplearning4j.nn.graph.vertex.impl that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	ScaleVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	PreprocessorVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	PoolHelperVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	LayerVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	MergeVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	InputVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	L2NormalizeVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	SubsetVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	ShiftVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	ElementWiseVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	UnstackVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	StackVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	L2Vertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	ReshapeVertex.doBackward(boolean tbptt)

Uses of Gradient in org.deeplearning4j.nn.graph.vertex.impl.rnn

Methods in org.deeplearning4j.nn.graph.vertex.impl.rnn that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	DuplicateToTimeSeriesVertex.doBackward(boolean tbptt)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray[]>	LastTimeStepVertex.doBackward(boolean tbptt)

Uses of Gradient in org.deeplearning4j.nn.layers

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

Modifier and Type	Field and Description
protected Gradient	BaseLayer.gradient

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

Modifier and Type	Method and Description
Gradient	FrozenLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	ActivationLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	DropoutLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	AbstractLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	LossLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	BaseLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
protected Gradient	BasePretrainNetwork.createGradient(org.nd4j.linalg.api.ndarray.INDArray wGradient, org.nd4j.linalg.api.ndarray.INDArray vBiasGradient, org.nd4j.linalg.api.ndarray.INDArray hBiasGradient)
Gradient	FrozenLayer.error(org.nd4j.linalg.api.ndarray.INDArray input)
Gradient	AbstractLayer.error(org.nd4j.linalg.api.ndarray.INDArray errorSignal)
Gradient	BaseLayer.error(org.nd4j.linalg.api.ndarray.INDArray errorSignal)
Gradient	BaseOutputLayer.gradient() Gets the gradient from one training iteration
Gradient	FrozenLayer.gradient()
Gradient	AbstractLayer.gradient()
Gradient	LossLayer.gradient() Gets the gradient from one training iteration
Gradient	BaseLayer.gradient()

Methods in org.deeplearning4j.nn.layers that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	BasePretrainNetwork.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	BaseOutputLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	FrozenLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	ActivationLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	DropoutLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LossLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	BaseLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,Double>	BaseOutputLayer.gradientAndScore()
org.nd4j.linalg.primitives.Pair<Gradient,Double>	FrozenLayer.gradientAndScore()
org.nd4j.linalg.primitives.Pair<Gradient,Double>	AbstractLayer.gradientAndScore()
org.nd4j.linalg.primitives.Pair<Gradient,Double>	LossLayer.gradientAndScore()

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

Modifier and Type	Method and Description
Gradient	FrozenLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	ActivationLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	DropoutLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	AbstractLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	LossLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	BaseLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
void	FrozenLayer.update(Gradient gradient)
void	AbstractLayer.update(Gradient gradient)
void	BaseLayer.update(Gradient gradient)

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

Methods in org.deeplearning4j.nn.layers.convolution that return Gradient

Modifier and Type	Method and Description
Gradient	ConvolutionLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)

Methods in org.deeplearning4j.nn.layers.convolution that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	ConvolutionLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	Convolution1DLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	ZeroPaddingLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	ConvolutionHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray weights, org.nd4j.linalg.api.ndarray.INDArray delta, int[] kernel, int[] strides, int[] pad, org.nd4j.linalg.api.ndarray.INDArray biasGradView, org.nd4j.linalg.api.ndarray.INDArray weightGradView, org.nd4j.linalg.activations.IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode)

Methods in org.deeplearning4j.nn.layers.convolution with parameters of type Gradient

Modifier and Type	Method and Description
Gradient	ConvolutionLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)

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

Methods in org.deeplearning4j.nn.layers.convolution.subsampling that return Gradient

Modifier and Type	Method and Description
Gradient	SubsamplingLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	SubsamplingLayer.error(org.nd4j.linalg.api.ndarray.INDArray input)
Gradient	SubsamplingLayer.gradient()

Methods in org.deeplearning4j.nn.layers.convolution.subsampling that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	SubsamplingLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	Subsampling1DLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	SubsamplingHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray epsilon, int[] kernel, int[] strides, int[] pad, PoolingType poolingType, ConvolutionMode convolutionMode)

Methods in org.deeplearning4j.nn.layers.convolution.subsampling with parameters of type Gradient

Modifier and Type	Method and Description
Gradient	SubsamplingLayer.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)

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

Methods in org.deeplearning4j.nn.layers.feedforward.embedding that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	EmbeddingLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)

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

Methods in org.deeplearning4j.nn.layers.feedforward.rbm that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	RBM.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)

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

Methods in org.deeplearning4j.nn.layers.normalization that return Gradient

Modifier and Type	Method and Description
Gradient	BatchNormalization.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	LocalResponseNormalization.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	BatchNormalization.error(org.nd4j.linalg.api.ndarray.INDArray input)
Gradient	BatchNormalization.gradient()

Methods in org.deeplearning4j.nn.layers.normalization that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	BatchNormalization.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LocalResponseNormalization.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LocalResponseNormalizationHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray epsilon, double k, double n, double alpha, double beta)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	BatchNormalizationHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray epsilon, int[] shape, org.nd4j.linalg.api.ndarray.INDArray gamma, org.nd4j.linalg.api.ndarray.INDArray dGammaView, org.nd4j.linalg.api.ndarray.INDArray dBetaView, double eps)

Methods in org.deeplearning4j.nn.layers.normalization with parameters of type Gradient

Modifier and Type	Method and Description
Gradient	BatchNormalization.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	LocalResponseNormalization.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)

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

Methods in org.deeplearning4j.nn.layers.pooling that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	GlobalPoolingLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)

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

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

Modifier and Type	Method and Description
Gradient	LSTM.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	GravesBidirectionalLSTM.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	GravesLSTM.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	LSTM.gradient()
Gradient	GravesBidirectionalLSTM.gradient()
Gradient	GravesLSTM.gradient()

Methods in org.deeplearning4j.nn.layers.recurrent that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LSTM.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	RnnOutputLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	GravesBidirectionalLSTM.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	GravesLSTM.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LSTMHelper.backpropGradient(NeuralNetConfiguration conf, org.nd4j.linalg.activations.IActivation gateActivationFn, 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, org.nd4j.linalg.api.ndarray.INDArray maskArray, boolean hasPeepholeConnections)
static org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LSTMHelpers.backpropGradientHelper(NeuralNetConfiguration conf, org.nd4j.linalg.activations.IActivation gateActivationFn, 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, org.nd4j.linalg.api.ndarray.INDArray maskArray, boolean hasPeepholeConnections, LSTMHelper helper)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LSTM.tbpttBackpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon, int tbpttBackwardLength)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	GravesBidirectionalLSTM.tbpttBackpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon, int tbpttBackwardLength)
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	GravesLSTM.tbpttBackpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon, int tbpttBackwardLength)

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

Modifier and Type	Method and Description
Gradient	LSTM.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	GravesBidirectionalLSTM.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	GravesLSTM.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)

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

Methods in org.deeplearning4j.nn.layers.training that return Gradient

Modifier and Type	Method and Description
Gradient	CenterLossOutputLayer.gradient() Gets the gradient from one training iteration

Methods in org.deeplearning4j.nn.layers.training that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	CenterLossOutputLayer.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,Double>	CenterLossOutputLayer.gradientAndScore()

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

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

Modifier and Type	Field and Description
protected Gradient	VariationalAutoencoder.gradient

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

Modifier and Type	Method and Description
Gradient	VariationalAutoencoder.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
Gradient	VariationalAutoencoder.error(org.nd4j.linalg.api.ndarray.INDArray input)
Gradient	VariationalAutoencoder.gradient()

Methods in org.deeplearning4j.nn.layers.variational that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	VariationalAutoencoder.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
org.nd4j.linalg.primitives.Pair<Gradient,Double>	VariationalAutoencoder.gradientAndScore()

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

Modifier and Type	Method and Description
Gradient	VariationalAutoencoder.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray indArray)
void	VariationalAutoencoder.update(Gradient gradient)

Uses of Gradient in org.deeplearning4j.nn.multilayer

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

Modifier and Type	Field and Description
protected Gradient	MultiLayerNetwork.gradient

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

Modifier and Type	Method and Description
Gradient	MultiLayerNetwork.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
Gradient	MultiLayerNetwork.error(org.nd4j.linalg.api.ndarray.INDArray errorSignal)
Gradient	MultiLayerNetwork.gradient()

Methods in org.deeplearning4j.nn.multilayer that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	MultiLayerNetwork.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray epsilon)
protected org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	MultiLayerNetwork.calcBackpropGradients(org.nd4j.linalg.api.ndarray.INDArray epsilon, boolean withOutputLayer) Calculate gradients and errors.
org.nd4j.linalg.primitives.Pair<Gradient,Double>	MultiLayerNetwork.gradientAndScore()

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

Modifier and Type	Method and Description
Gradient	MultiLayerNetwork.calcGradient(Gradient layerError, org.nd4j.linalg.api.ndarray.INDArray activation)
void	MultiLayerNetwork.update(Gradient gradient)

Uses of Gradient in org.deeplearning4j.nn.updater

Methods in org.deeplearning4j.nn.updater with parameters of type Gradient

Modifier and Type	Method and Description
void	BaseMultiLayerUpdater.preApply(Layer layer, Gradient gradient, int iteration) Pre-apply: Apply gradient normalization/clipping
void	BaseMultiLayerUpdater.update(Gradient gradient, int iteration, int batchSize) Update the gradient for the model.
void	BaseMultiLayerUpdater.update(Layer layer, Gradient gradient, int iteration, int batchSize)

Uses of Gradient in org.deeplearning4j.optimize.api

Methods in org.deeplearning4j.optimize.api that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,Double>	ConvexOptimizer.gradientAndScore() The gradient and score for this optimizer

Methods in org.deeplearning4j.optimize.api with parameters of type Gradient

Modifier and Type	Method and Description
void	ConvexOptimizer.updateGradientAccordingToParams(Gradient gradient, Model model, int batchSize) Update the gradient according to the configuration such as adagrad, momentum, and sparsity

Method parameters in org.deeplearning4j.optimize.api with type arguments of type Gradient

Modifier and Type	Method and Description
void	ConvexOptimizer.setupSearchState(org.nd4j.linalg.primitives.Pair<Gradient,Double> pair) Based on the gradient and score setup a search state

Uses of Gradient in org.deeplearning4j.optimize.solvers

Methods in org.deeplearning4j.optimize.solvers that return types with arguments of type Gradient

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,Double>	BaseOptimizer.gradientAndScore()

Methods in org.deeplearning4j.optimize.solvers with parameters of type Gradient

Modifier and Type	Method and Description
void	BaseOptimizer.updateGradientAccordingToParams(Gradient gradient, Model model, int batchSize)

Method parameters in org.deeplearning4j.optimize.solvers with type arguments of type Gradient

Modifier and Type	Method and Description
void	LBFGS.setupSearchState(org.nd4j.linalg.primitives.Pair<Gradient,Double> pair)
void	BaseOptimizer.setupSearchState(org.nd4j.linalg.primitives.Pair<Gradient,Double> pair) Setup the initial search state