Uses of Class
org.deeplearning4j.nn.graph.vertex.BaseGraphVertex

Packages that use BaseGraphVertex

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

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

Subclasses of BaseGraphVertex in org.deeplearning4j.nn.graph.vertex.impl

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	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.

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

Subclasses of BaseGraphVertex in org.deeplearning4j.nn.graph.vertex.impl.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.