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.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 or multiplication.
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	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	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	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	PreprocessorVertex.clone()
abstract GraphVertex	GraphVertex.clone()

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.

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.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