Package org.deeplearning4j.nn.conf.graph

Class Summary

Class	Description
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.
FrozenVertex	FrozenVertex is used for the purposes of transfer learning. A frozen vertex wraps another DL4J GraphVertex within it.
GraphVertex	A GraphVertex is a vertex in the computation graph type of neural network.
L2NormalizeVertex	L2NormalizeVertex performs L2 normalization on a single input, along the specified dimensions.
L2Vertex	L2Vertex calculates the L2 (Euclidean) least squares error of two inputs, on a per-example basis.
LayerVertex	LayerVertex is a GraphVertex with a neural network Layer (and, optionally an InputPreProcessor) in it
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]
PoolHelperVertex	Removes the first column and row from an input.
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.
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.
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.
ShiftVertex	A ShiftVertex is used to shift the activations of a single layer.
StackVertex	StackVertex allows for stacking of inputs so that they may be forwarded through a network.
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.
UnstackVertex	UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.

Enum Summary

Enum	Description
ElementWiseVertex.Op