Uses of Interface
org.deeplearning4j.nn.graph.vertex.GraphVertex

Packages that use GraphVertex

Package	Description
org.deeplearning4j.nn.conf.graph
org.deeplearning4j.nn.conf.graph.rnn
org.deeplearning4j.nn.graph
org.deeplearning4j.nn.graph.vertex
org.deeplearning4j.nn.graph.vertex.impl
org.deeplearning4j.nn.graph.vertex.impl.rnn

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

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

Modifier and Type	Method and Description
GraphVertex	SubsetVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	ElementWiseVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	ReshapeVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	FrozenVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	L2Vertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	ShiftVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	LayerVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	MergeVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	PreprocessorVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	L2NormalizeVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	ScaleVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	PoolHelperVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	UnstackVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
GraphVertex	StackVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)
abstract GraphVertex	GraphVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams) Create a GraphVertex instance, for the given computation graph, given the configuration instance.

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

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

Modifier and Type	Method and Description
GraphVertex	DuplicateToTimeSeriesVertex.instantiate(ComputationGraph graph, String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams)

Uses of GraphVertex in org.deeplearning4j.nn.graph

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

Modifier and Type	Field and Description
protected GraphVertex[]	ComputationGraph.vertices All GraphVertex objects in the network.

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

Modifier and Type	Field and Description
protected Map<String,GraphVertex>	ComputationGraph.verticesMap Map of vertices by name

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

Modifier and Type	Method and Description
GraphVertex	ComputationGraph.getVertex(String name) Return a given GraphVertex by name, or null if no vertex with that name exists
GraphVertex[]	ComputationGraph.getVertices() Returns an array of all GraphVertex objects.

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

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

Modifier and Type	Class and Description
class	BaseGraphVertex BaseGraphVertex defines a set of common functionality for GraphVertex instances.
class	BaseWrapperVertex A base class for wrapper vertices: i.e., those vertices that have another vertex inside.

Fields in org.deeplearning4j.nn.graph.vertex declared as GraphVertex

Modifier and Type	Field and Description
protected GraphVertex	BaseWrapperVertex.underlying

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

Constructor and Description
BaseWrapperVertex(GraphVertex underlying)

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

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

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 or multiplication or by selecting the maximum.
class	FrozenVertex FrozenVertex is used for the purposes of transfer learning A frozen layers wraps another DL4J GraphVertex within it.
class	InputVertex An InputVertex simply defines the location (and connection structure) of inputs to the ComputationGraph.
class	L2NormalizeVertex L2NormalizeVertex performs L2 normalization on a single input.
class	L2Vertex L2Vertex calculates the L2 least squares error of two inputs.
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 A custom layer for removing 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.
class	ScaleVertex A ScaleVertex is used to scale the size of activations of a single layer 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 One could use it to add a bias or as part of some other calculation.
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.

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

Constructor and Description
FrozenVertex(GraphVertex underlying)

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

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

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.