Uses of Class
org.deeplearning4j.nn.conf.graph.GraphVertex

Packages that use GraphVertex

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.graph
org.deeplearning4j.nn.conf.graph.rnn
org.deeplearning4j.nn.conf.layers.samediff
org.deeplearning4j.nn.conf.serde.legacyformat
org.deeplearning4j.nn.transferlearning

Uses of GraphVertex in org.deeplearning4j.nn.conf

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

Modifier and Type	Field and Description
protected Map<String,GraphVertex>	ComputationGraphConfiguration.vertices
protected Map<String,GraphVertex>	ComputationGraphConfiguration.GraphBuilder.vertices

Methods in org.deeplearning4j.nn.conf with parameters of type GraphVertex

Modifier and Type	Method and Description
ComputationGraphConfiguration.GraphBuilder	ComputationGraphConfiguration.GraphBuilder.addVertex(String vertexName, GraphVertex vertex, String... vertexInputs) Add a GraphVertex to the network configuration.

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

Subclasses of GraphVertex in org.deeplearning4j.nn.conf.graph

Modifier and Type	Class and Description
class	ElementWiseVertex An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner For example, the activations may be combined by addition, subtraction, multiplication (product), average or by selecting the maximum. Addition, Average, Max and Product may use an arbitrary number of input arrays.
class	FrozenVertex FrozenVertex is used for the purposes of transfer learning. A frozen vertex wraps another DL4J GraphVertex within it.
class	L2NormalizeVertex L2NormalizeVertex performs L2 normalization on a single input, along the specified dimensions.
class	L2Vertex L2Vertex calculates the L2 (Euclidean) least squares error of two inputs, on a per-example basis.
class	LayerVertex LayerVertex is a GraphVertex with a neural network Layer (and, optionally an InputPreProcessor) in it
class	MergeVertex A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging. Exactly how this is done depends on the type of input. For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2] For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength]) -> [numExamples,layerSize1 + layerSize2,timeSeriesLength] For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height]) -> [numExamples,depth1 + depth2,width,height]
class	PoolHelperVertex Removes the first column and row from an input.
class	PreprocessorVertex PreprocessorVertex is a simple adaptor class that allows a InputPreProcessor to be used in a ComputationGraph GraphVertex, without it being associated with a layer.
class	ReshapeVertex Adds the ability to reshape and flatten the tensor in the computation graph. NOTE: This class should only be used if you know exactly what you are doing with reshaping activations.
class	ScaleVertex A ScaleVertex is used to scale the size of activations of a single layer: this is simply multiplication by a fixed scalar value For example, ResNet activations can be scaled in repeating blocks to keep variance under control.
class	ShiftVertex A ShiftVertex is used to shift the activations of a single layer.
class	StackVertex StackVertex allows for stacking of inputs so that they may be forwarded through a network.
class	SubsetVertex SubsetVertex is used to select a subset of the activations out of another GraphVertex. For example, a subset of the activations out of a layer. Note that this subset is specifying by means of an interval of the original activations.
class	UnstackVertex UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.

Methods in org.deeplearning4j.nn.conf.graph that return GraphVertex

Modifier and Type	Method and Description
GraphVertex	LayerVertex.clone()
GraphVertex	FrozenVertex.clone()
abstract GraphVertex	GraphVertex.clone()
GraphVertex	PreprocessorVertex.clone()

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

Constructor and Description
FrozenVertex(GraphVertex underlying)

Uses of GraphVertex in org.deeplearning4j.nn.conf.graph.rnn

Subclasses of GraphVertex in org.deeplearning4j.nn.conf.graph.rnn

Modifier and Type	Class and Description
class	DuplicateToTimeSeriesVertex DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of duplication.
class	LastTimeStepVertex LastTimeStepVertex is used in the context of recurrent neural network activations, to go from 3d (time series) activations to 2d activations, by extracting out the last time step of activations for each example. This can be used for example in sequence to sequence architectures, and potentially for sequence classification.
class	ReverseTimeSeriesVertex ReverseTimeSeriesVertex is used in recurrent neural networks to revert the order of time series.

Methods in org.deeplearning4j.nn.conf.graph.rnn that return GraphVertex

Modifier and Type	Method and Description
GraphVertex	LastTimeStepVertex.clone()
GraphVertex	DuplicateToTimeSeriesVertex.clone()

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

Subclasses of GraphVertex in org.deeplearning4j.nn.conf.layers.samediff

Modifier and Type	Class and Description
class	SameDiffLambdaVertex SameDiffLambdaVertex is defined to be used as the base class for implementing lambda vertices using SameDiff Lambda vertices are vertices without parameters - and as a result, have a much simpler API - users need only extend SameDiffLambdaVertex and implement a single method to define their vertex
class	SameDiffVertex A SameDiff-based GraphVertex.

Methods in org.deeplearning4j.nn.conf.layers.samediff that return GraphVertex

Modifier and Type	Method and Description
GraphVertex	SameDiffVertex.clone()

Uses of GraphVertex in org.deeplearning4j.nn.conf.serde.legacyformat

Method parameters in org.deeplearning4j.nn.conf.serde.legacyformat with type arguments of type GraphVertex

Modifier and Type	Method and Description
static void	LegacyGraphVertexDeserializer.registerLegacyClassDefaultName(Class<? extends GraphVertex> clazz)
static void	LegacyGraphVertexDeserializer.registerLegacyClassSpecifiedName(String name, Class<? extends GraphVertex> clazz)

Uses of GraphVertex in org.deeplearning4j.nn.transferlearning

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

Modifier and Type	Method and Description
TransferLearning.GraphBuilder	TransferLearning.GraphBuilder.addVertex(String vertexName, GraphVertex vertex, String... vertexInputs) Add a vertex of the given configuration to the computation graph