Uses of Interface
org.deeplearning4j.nn.api.Trainable

Packages that use Trainable

Package	Description
org.deeplearning4j.nn.api
org.deeplearning4j.nn.api.layers
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.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.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.updater
org.deeplearning4j.nn.updater.graph

Uses of Trainable in org.deeplearning4j.nn.api

Subinterfaces of Trainable in org.deeplearning4j.nn.api

Modifier and Type	Interface	Description
interface	Layer

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

Modifier and Type	Method	Description
void	Updater.setStateViewArray(Trainable layer, INDArray viewArray, boolean initialize)	Set the internal (historical) state view array for this updater
void	Updater.update(Trainable layer, Gradient gradient, int iteration, int epoch, int miniBatchSize, LayerWorkspaceMgr workspaceMgr)	Updater: updates the model

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

Subinterfaces of Trainable in org.deeplearning4j.nn.api.layers

Modifier and Type	Interface	Description
interface	IOutputLayer
interface	RecurrentLayer

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

Subinterfaces of Trainable in org.deeplearning4j.nn.graph.vertex

Modifier and Type	Interface	Description
interface	GraphVertex

Classes in org.deeplearning4j.nn.graph.vertex that implement Trainable

Modifier and Type	Class	Description
class	BaseGraphVertex
class	BaseWrapperVertex

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

Classes in org.deeplearning4j.nn.graph.vertex.impl that implement Trainable

Modifier and Type	Class	Description
class	ElementWiseVertex
class	FrozenVertex
class	InputVertex
class	L2NormalizeVertex
class	L2Vertex
class	LayerVertex
class	MergeVertex
class	PoolHelperVertex
class	PreprocessorVertex
class	ReshapeVertex
class	ScaleVertex
class	ShiftVertex
class	StackVertex
class	SubsetVertex
class	UnstackVertex

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

Classes in org.deeplearning4j.nn.graph.vertex.impl.rnn that implement Trainable

Modifier and Type	Class	Description
class	DuplicateToTimeSeriesVertex
class	LastTimeStepVertex
class	ReverseTimeSeriesVertex

Uses of Trainable in org.deeplearning4j.nn.layers

Classes in org.deeplearning4j.nn.layers that implement Trainable

Modifier and Type	Class	Description
class	AbstractLayer<LayerConfT extends Layer>	A layer with input and output, no parameters or gradients
class	ActivationLayer
class	BaseLayer<LayerConfT extends BaseLayer>	A layer with parameters
class	BaseOutputLayer<LayerConfT extends BaseOutputLayer>
class	BasePretrainNetwork<LayerConfT extends BasePretrainNetwork>
class	DropoutLayer
class	FrozenLayer
class	FrozenLayerWithBackprop	Frozen layer freezes parameters of the layer it wraps, but allows the backpropagation to continue.
class	LossLayer
class	OutputLayer
class	RepeatVector

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

Classes in org.deeplearning4j.nn.layers.convolution that implement Trainable

Modifier and Type	Class	Description
class	Cnn3DLossLayer
class	CnnLossLayer
class	Convolution1DLayer
class	Convolution3DLayer
class	ConvolutionLayer
class	Cropping1DLayer
class	Cropping2DLayer
class	Cropping3DLayer
class	Deconvolution2DLayer
class	Deconvolution3DLayer
class	DepthwiseConvolution2DLayer
class	SeparableConvolution2DLayer
class	SpaceToBatch
class	SpaceToDepth
class	ZeroPadding1DLayer
class	ZeroPadding3DLayer
class	ZeroPaddingLayer

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

Classes in org.deeplearning4j.nn.layers.convolution.subsampling that implement Trainable

Modifier and Type	Class	Description
class	Subsampling1DLayer
class	Subsampling3DLayer
class	SubsamplingLayer

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

Classes in org.deeplearning4j.nn.layers.convolution.upsampling that implement Trainable

Modifier and Type	Class	Description
class	Upsampling1D
class	Upsampling2D
class	Upsampling3D

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

Classes in org.deeplearning4j.nn.layers.feedforward that implement Trainable

Modifier and Type	Class	Description
class	PReLU

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

Classes in org.deeplearning4j.nn.layers.feedforward.autoencoder that implement Trainable

Modifier and Type	Class	Description
class	AutoEncoder

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

Classes in org.deeplearning4j.nn.layers.feedforward.dense that implement Trainable

Modifier and Type	Class	Description
class	DenseLayer

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

Classes in org.deeplearning4j.nn.layers.feedforward.elementwise that implement Trainable

Modifier and Type	Class	Description
class	ElementWiseMultiplicationLayer

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

Classes in org.deeplearning4j.nn.layers.feedforward.embedding that implement Trainable

Modifier and Type	Class	Description
class	EmbeddingLayer
class	EmbeddingSequenceLayer

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

Classes in org.deeplearning4j.nn.layers.normalization that implement Trainable

Modifier and Type	Class	Description
class	BatchNormalization
class	LocalResponseNormalization

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

Classes in org.deeplearning4j.nn.layers.objdetect that implement Trainable

Modifier and Type	Class	Description
class	Yolo2OutputLayer

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

Classes in org.deeplearning4j.nn.layers.ocnn that implement Trainable

Modifier and Type	Class	Description
class	OCNNOutputLayer

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

Classes in org.deeplearning4j.nn.layers.pooling that implement Trainable

Modifier and Type	Class	Description
class	GlobalPoolingLayer

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

Classes in org.deeplearning4j.nn.layers.recurrent that implement Trainable

Modifier and Type	Class	Description
class	BaseRecurrentLayer<LayerConfT extends BaseRecurrentLayer>
class	BidirectionalLayer
class	GravesBidirectionalLSTM
class	GravesLSTM	Deprecated.
class	LastTimeStepLayer
class	LSTM
class	MaskZeroLayer
class	RnnLossLayer
class	RnnOutputLayer
class	SimpleRnn
class	TimeDistributedLayer

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

Classes in org.deeplearning4j.nn.layers.samediff that implement Trainable

Modifier and Type	Class	Description
class	SameDiffGraphVertex
class	SameDiffLayer
class	SameDiffOutputLayer

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

Classes in org.deeplearning4j.nn.layers.training that implement Trainable

Modifier and Type	Class	Description
class	CenterLossOutputLayer

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

Classes in org.deeplearning4j.nn.layers.util that implement Trainable

Modifier and Type	Class	Description
class	MaskLayer

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

Classes in org.deeplearning4j.nn.layers.variational that implement Trainable

Modifier and Type	Class	Description
class	VariationalAutoencoder

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

Classes in org.deeplearning4j.nn.layers.wrapper that implement Trainable

Modifier and Type	Class	Description
class	BaseWrapperLayer

Uses of Trainable in org.deeplearning4j.nn.multilayer

Classes in org.deeplearning4j.nn.multilayer that implement Trainable

Modifier and Type	Class	Description
class	MultiLayerNetwork

Uses of Trainable in org.deeplearning4j.nn.updater

Fields in org.deeplearning4j.nn.updater with type parameters of type Trainable

Modifier and Type	Field	Description
protected Map<String,Trainable>	BaseMultiLayerUpdater.layersByName

Methods in org.deeplearning4j.nn.updater that return Trainable

Modifier and Type	Method	Description
protected abstract Trainable[]	BaseMultiLayerUpdater.getOrderedLayers()
protected Trainable[]	LayerUpdater.getOrderedLayers()
protected Trainable[]	MultiLayerUpdater.getOrderedLayers()

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

Modifier and Type	Method	Description
protected void	UpdaterBlock.applyRegularization(Regularization.ApplyStep step, Trainable layer, String paramName, INDArray gradientView, INDArray paramsView, int iter, int epoch, double lr)	Apply L1 and L2 regularization, if necessary.
void	BaseMultiLayerUpdater.preApply(Trainable layer, Gradient gradient, int iteration)	Pre-apply: Apply gradient normalization/clipping
void	BaseMultiLayerUpdater.setStateViewArray(Trainable layer, INDArray viewArray, boolean initialize)
void	BaseMultiLayerUpdater.update(Trainable layer, Gradient gradient, int iteration, int epoch, int batchSize, LayerWorkspaceMgr workspaceMgr)
static boolean	UpdaterUtils.updaterConfigurationsEquals(Trainable layer1, String param1, Trainable layer2, String param2)

Uses of Trainable in org.deeplearning4j.nn.updater.graph

Fields in org.deeplearning4j.nn.updater.graph declared as Trainable

Modifier and Type	Field	Description
protected Trainable[]	ComputationGraphUpdater.orderedLayers

Methods in org.deeplearning4j.nn.updater.graph that return Trainable

Modifier and Type	Method	Description
protected Trainable[]	ComputationGraphUpdater.getOrderedLayers()